Freelance SQL programmer jobs, employment

We run a multi-tenant healthcare EHR web application in C# / .NET. The backend reads and writes data in **Azure** (including Azure SQL and other Azure services) and **Google Cloud** (including Cloud Storage and related APIs). The app runs on Windows / IIS with a small US product team and a larger engineering team that must be able to maintain the result.

We need an expert who has done this **in production, more than once**, not someone who has only read the docs.

You will:

1. Design the credential and identity architecture for Azure + GCP from a C# app (passwordless where possible; vault only where a secret is unavoidable).
2. Implement it with us in our codebase and cloud accounts — Managed Identity / service principal + certificate, Azure Key Vault, GCP Workload Identity Federation, least-privilege IAM/RBAC, secret rotation, audit logging.
3. Separate local, staging, and production correctly. No secrets in source control, `appsettings`, JSON key files on IIS servers, or shared god-accounts.
4. Train our engineers so they can operate, rotate, and extend this without you in the room.
5. Document the threat model, failure modes, and operating runbook in plain language.

This is architecture + coding + implementation + knowledge transfer. It is not “paste a connection string into Key Vault and disappear.”

### Constraints that matter

- Healthcare / HIPAA. BAA-covered clouds. Auditability is required, not optional.
- Multi-tenant SaaS. One leaked identity must not become “read every customer’s files.”
- Existing production traffic. We need a migration path off JSON keys / account keys / passwords with low downtime risk.
- Team must own the result. If you cannot teach it, you are the wrong person.

### Required experience (do not apply if you cannot prove this)

You have repeatedly shipped **at least most** of the following in real systems, not demos:

- Azure Managed Identity (system- and user-assigned) from .NET, including pinning production to `ManagedIdentityCredential` rather than hoping `DefaultAzureCredential` does the right thing
- Azure Key Vault as a production secret store: RBAC, separate vaults per environment, purge protection, access logging, in-memory caching, rotation
- Passwordless Azure SQL / Azure Storage from C# (Entra ID), not only connection-string passwords
- Google Cloud authentication from .NET without leaving a service-account JSON on disk
- **Workload Identity Federation between Azure and GCP** (Azure identity → GCP STS → impersonated service account → GCS)
- Least-privilege design for object storage prefixes / buckets and Azure RBAC
- HIPAA or similarly regulated workloads (PCI, FedRAMP, SOC2 with PHI/PII is acceptable if you can map the controls)
- Teaching mid-level engineers to maintain the design after you leave

If your “GCP experience” is only a downloaded JSON key on a VM, this is not your project.

### What this engagement is not

- Not a generic “DevOps guy who also does security”
- Not an Azure-only or GCP-only admin who has never written C# against both clouds
- Not a resume full of buzzwords and no production war stories
- Not a one-week script dump with no training
- Not advice-only with no willingness to sit in the code and the cloud consoles with us

### How we work

- You propose the architecture, we pressure-test it, then we implement in small, reversible steps.
- You write or review the C# (Azure.Identity, Key Vault SDK, Google.Cloud.Storage.V1 / Google.Apis.Auth, WIF config).
- You produce a short runbook: identities, roles, vault layout, rotation, incident steps, what never to do.
- You run working sessions with our engineers until they can explain and change the system themselves.

### How to apply (applications that skip this will be ignored)

Do **not** send a generic cover letter. In your proposal, answer all of the following in your own words:

1. In 8–12 sentences, describe **one production system** where a .NET app talked to **both Azure and GCP** (or Azure + another cloud with federation). What was hosted where, what identity was used, what secrets still existed, and what you retired.
2. What is wrong with putting a GCP service-account JSON on each IIS server and an Azure client secret in `appsettings.Production.json`? List the failure modes, not slogans.
3. When would you still store a secret in Key Vault versus using Managed Identity / WIF?
4. How do you keep **tenant A** from reading **tenant B** objects in GCS if the app identity is shared?
5. Confirm you can work in our repos and cloud consoles, not only write a PDF.
6. Your hourly rate, typical weekly availability for the next 8–12 weeks, and US-hours overlap.
7. Links or anonymized artifacts you can discuss on a call: architecture notes, a PR, a runbook, a talk. Redact client names.

If you cannot answer (1)–(4) from experience, please do not apply. We will verify depth on a later technical screen; a polished LinkedIn and “I have 15 years” is not enough.

We will pay for real depth. We will not hire the cheapest bidder.

Senior AI/LLM Engineer – NVIDIA GB10 / On-Premise Enterprise AI / ERP Integration

We are an established B2B technology distribution company looking for a Senior AI/LLM Engineer to design and build a secure, on-premise enterprise AI platform using our new NVIDIA GB10-based system.

IMPORTANT:
Our GB10 system is new. The selected engineer will also be responsible for the initial setup, configuration, optimization and security of the machine.

This is NOT a simple chatbot or LLM installation project.

Our long-term goal is to build a secure AI intelligence layer across our company, connecting management, sales, inventory, purchasing, technical product knowledge and eventually our B2B e-commerce platform.

We plan to develop the project in 3 phases.

For this job, we are initially requesting a detailed proposal and quotation for PHASE 1.

If Phase 1 is successful, our preference is to continue with the same engineer for Phases 2 and 3.


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PHASE 1 – GB10 SETUP & CORE ENTERPRISE AI PLATFORM
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1. NVIDIA GB10 INITIAL SETUP

The engineer will be responsible for:

• Complete initial setup of our new NVIDIA GB10 system
• OS/system configuration and updates
• NVIDIA software stack configuration
• Docker/container environment
• Local LLM runtime and model-serving environment
• Networking configuration
• Security hardening
• User/access configuration
• Backup and recovery strategy
• Performance testing and optimization

All administrator accounts, credentials, source code, repositories and configurations must remain under our company's control.


2. LOCAL AI / LLM PLATFORM

• Select appropriate local LLM(s) for our requirements
• Deploy and optimize them on the GB10
• Build a modular and maintainable AI architecture
• Implement LLM tool/function calling where appropriate
• Create a simple web-based interface for internal use


3. ERP / SQL INTEGRATION

Our ERP/database contains commercially sensitive business information.

We want the AI to securely analyze company data without giving the LLM unrestricted access to the production database.

The architecture should include appropriate security measures such as:

• Read-only database access
• Least-privilege permissions
• Controlled data/API or semantic access layer
• SQL/query validation
• Authentication
• Role-based access control (RBAC)
• Audit logging
• Secure secrets/credential management
• Network access controls

Initial development should use controlled, sample or anonymized data whenever possible.


4. MANAGEMENT & SALES AI ASSISTANT

Management should be able to ask questions in natural language such as:

“What are the 10 most important things I should know about the business this morning?”

The system should analyze relevant business data including:

• Sales
• Customers
• Products
• Inventory
• Profitability
• Historical purchasing behavior

and return accurate, explainable and actionable insights.

Example questions:

• Which important customers reduced their purchases during the last 90 days?
• Which customers should our sales team contact today, and why?
• Which products have excessive inventory?
• Which customers buy notebooks from us but do not buy SSDs?
• Compare this month's sales and gross profit with the previous month.
• Identify unusual changes in customer purchasing behavior.


5. INTERNAL KNOWLEDGE / RAG SYSTEM

We want the system to securely use internal company documents and product information.

Sources may include:

• PDF documents
• Manufacturer datasheets
• Product catalogs
• Technical manuals
• Internal procedures
• Company documents

The system should use an appropriate RAG architecture and provide source-grounded answers.


6. DOCUMENTATION & HANDOVER

Phase 1 must include:

• Source code
• Architecture documentation
• Installation documentation
• Backup/recovery instructions
• Configuration documentation
• Credential/access handover
• Knowledge transfer

The system must not become dependent on a single developer.


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PHASE 2 – SALES, CUSTOMER & INVENTORY INTELLIGENCE
==================================================

After successful completion of Phase 1, we intend to expand the platform with:

• AI-based sales opportunity detection
• Customer churn / lost-customer detection
• Identification of declining customer activity
• Cross-sell and up-sell recommendations
• Daily prioritized customer recommendations for sales representatives
• Customer purchasing behavior analysis
• Unusual activity detection
• Slow-moving inventory detection
• Excess inventory detection
• Inventory optimization
• Automated management alerts and intelligence

Example:

The AI should be able to identify:

“This customer normally purchases approximately 40 units per month but has not purchased for 35 days.”

or:

“This customer buys notebooks from us but does not buy SSDs. There may be a cross-sell opportunity.”

The objective is for the system to proactively identify opportunities and risks rather than only answer questions.


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PHASE 3 – PURCHASING, FORECASTING & B2B AI
==================================================

Future development should include:

• AI-based demand forecasting
• Purchasing recommendations
• Stock-out prediction
• Excess inventory prediction
• Recommended purchase quantities
• Historical sales velocity analysis
• Supplier lead-time considerations
• Product-level demand trends
• Automated purchasing intelligence
• Integration with our B2B e-commerce platform
• AI-powered product recommendations for dealers
• AI-assisted solution/configuration building
• Automatic product/cart creation based on requirements and budget
• Dealer/customer-facing AI assistant

Example:

The system should eventually be able to generate recommendations such as:

Current stock: 420 units
Last 30-day sales: 310 units
Estimated stock coverage: 41 days
Estimated supplier lead time: 55 days
Recommended action: Place a new purchase order.


==================================================
TECHNICAL PRODUCT AI CONSULTANT
==================================================

A major part of our long-term project is an AI-powered Technical Product Consultant.

Our company distributes a large number of technology and security products from different manufacturers.

The AI should use:

• Manufacturer datasheets
• Technical specifications
• Product manuals
• Product catalogs
• Internal product database
• Technical documentation

The Technical Product AI should eventually be able to:

• Compare products from different manufacturers
• Find equivalent or alternative products
• Recommend products based on technical requirements
• Analyze customer technical specifications and tenders
• Determine whether our products comply with required specifications
• Highlight missing or non-compliant specifications
• Build complete technical solutions
• Assist our sales team with technical questions

Example questions:

“Which products in our portfolio comply with this technical specification?”

“What is the closest equivalent product to this model?”

“Compare these two products and explain the important differences.”

“Design a complete solution for a 64-camera surveillance project with 90-day recording.”

The system should eventually be capable of recommending appropriate cameras, NVRs, storage/HDD capacity, network equipment and other required components.


==================================================
OUR LONG-TERM VISION
==================================================

Our objective is NOT to build a single chatbot.

We want to create a secure, modular, on-premise AI platform that gradually becomes an intelligence layer across our company:

MANAGEMENT
Business intelligence and decision support

SALES
Customer opportunities, churn detection and sales recommendations

PURCHASING
Demand forecasting and inventory optimization

TECHNICAL TEAM
Product comparison, specification analysis and solution design

EMPLOYEES
Internal company knowledge assistant

DEALERS / CUSTOMERS
Product selection and B2B AI assistant

The Phase 1 architecture must therefore be designed with these future phases in mind.

We prefer a modular architecture that can be expanded without rebuilding the entire system.


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REQUIRED EXPERIENCE
==================================================

Strong practical experience with:

• Python
• Linux
• Docker
• NVIDIA/CUDA ecosystem
• Local LLM deployment and inference
• RAG architectures
• LLM tool/function calling
• SQL databases
• REST APIs / FastAPI
• Authentication and RBAC
• Secure production AI systems

Highly preferred:

• NVIDIA GB10 / DGX Spark
• NVIDIA NIM
• Text-to-SQL
• ERP integrations
• Vector databases
• AI agents
• B2B/distribution data
• On-premise enterprise AI


==================================================
SECURITY
==================================================

Security is extremely important.

Our database contains commercially sensitive information.

We specifically do NOT want an architecture where an LLM has unrestricted access to our production database.

The engineer must follow least-privilege principles and propose appropriate controls for database access, credentials, network access, logging and user permissions.

No company data, database copies, documents or credentials may be transferred to external AI services without our explicit authorization.


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SELECTION PROCESS
==================================================

We are NOT selecting based on the lowest price.

We are looking for the right engineer for a potentially long-term project.

Shortlisted candidates may be invited to complete a small PAID Proof of Concept using sample/anonymized data before the main project is awarded.

Please answer ALL questions below in your proposal:

1. Describe a production system you personally built involving a local/on-premise LLM, RAG or enterprise company data.

2. Have you personally deployed AI/LLM workloads on NVIDIA GB10, DGX Spark or similar NVIDIA hardware? Please explain exactly what you did.

3. How would you allow an LLM to query a production SQL/ERP database without giving the LLM unrestricted database access?

4. For Phase 1, would you use RAG, tool/function calling, fine-tuning, agents, or a combination? Why?

5. What local LLM and model-serving stack would you initially consider for NVIDIA GB10, and why?

6. How would you minimize hallucinations and incorrect calculations when the AI answers questions involving sales, inventory and profitability?

7. How would you implement authentication, RBAC, secrets management and audit logging?

8. Briefly describe the architecture you would propose for Phase 1.

9. Please describe relevant projects you personally developed and clearly state which parts were implemented by you.

10. How long would you estimate Phase 1 will take?

11. Please provide your FIXED-PRICE quotation for Phase 1.

12. Based on the roadmap above, do you see any architectural risks or changes you would recommend before we begin?

IMPORTANT:

Please start your proposal with the exact words:

GB10 B2B AI

Generic proposals that do not answer the questions above will not be considered.

We value security, architecture quality, relevant experience, documentation and long-term maintainability more than the lowest price.

I’m looking for an experienced developer to provide hands-on development support for an ongoing enterprise healthcare technology project.

Tech Stack:

Go / Golang – backend development
Angular – frontend development
PostgreSQL / SQL
REST APIs & integrations
Microservices / enterprise applications
Git and standard development workflows

What I’m looking for:
Strong hands-on experience with both Go and Angular is preferred. You should be comfortable debugging existing applications, implementing features, fixing issues, working with APIs/databases, and quickly understanding an established codebase.

This will initially be a contract/part-time position, with the possibility of becoming a longer-term or permanent engagement depending on performance and project needs.

Looking for someone dependable, responsive, and available consistently during agreed working hours.

Please send your hourly rate, availability, years of Go/Angular experience, and a brief description of similar projects you’ve worked on.

We have an existing, verified Python ETL pipeline that fetches daily municipal filings (Lis Pendens, Liens) and joins them against county parcel data.

The scraping, DBF parsing, address resolution, and filtering logic are 100% complete, tested, and working in production. We now need to migrate the storage destination away from Google Sheets into a Supabase (PostgreSQL) backend and deploy the automated script to a lightweight Linux VPS.

Core Deliverables:

Supabase Schema & Upsert Logic:

Set up a clean, normalized PostgreSQL schema in our Supabase instance for county distress leads (filings, parcel data, situs vs. mailing addresses, document types).

Replace the existing Google Sheets export code with supabase-py or psycopg2.

Implement idempotent upsert logic on (county, instrument_number) so repeated runs never duplicate records.

Cloud VPS Deployment:

Deploy the script onto a lightweight Linux VPS (DigitalOcean, Linode, or Hetzner).

Configure a standard daily cron job to trigger the run autonomously every morning at 6:00 AM EST.

Ensure local persistence of county parcel files on the SSD so runs execute quickly without redundant large downloads.

Securely configure environment variables via .env (no credentials hardcoded).

Validation & Handoff:

Execute a live test push into Supabase and confirm records populate cleanly.

Provide brief instructions for adjusting cron times or viewing run logs.

Requirements:

Strong experience with Python 3.10+, PostgreSQL, and Supabase.

Proven Linux server administration / bash automation skills.

Fast turnaround (target completion within 24 hours of hire).

To be considered, start your proposal with the word "POSTGRES" and name your preferred lightweight cloud host for running automated cron scripts.

Summary

We're a Kazakhstani startup running a small subscription-based service (think: streaming, SaaS, or meal-kit box), and we're looking for a data analyst to help us better understand our customer base. We have transaction and customer activity data, but no real analysis has been done on it yet.

What we need:

• Clean and structure the raw dataset (customer signups, subscription events, payment history, activity logs)
• Perform RFM segmentation (Recency, Frequency, Monetary) to group customers into meaningful segments (e.g., loyal, at-risk, churned, new)
• Build a simple churn prediction model - identify customers likely to cancel their subscription in the next 30 days, using classification (logistic regression or random forest is fine)
• Evaluate the model (precision/recall, not just accuracy - we care about catching at-risk customers, not just overall correctness)
• Create a dashboard or set of visualizations showing: segment sizes, churn rate by segment, key churn indicators, and model performance
• Short written summary (1 page) explaining what drives churn in this dataset and what the business could realistically act on

Nice to have: a simple interactive tool (Streamlit is fine) where someone could input a customer's stats and get a churn-risk score back.

We required Google Professional Cloud Architect for small short term project.

Please apply only if you have ACTIVE "Google Professional Clou Architect "and have not linked to any Workspace account.

Key Skills :
Experience with Google Cloud Platform (GCP)
SQL query writing and optimization
Basic Python programming
Troubleshooting and problem-solving skills
Good communication skills

. Мне нужна помощь с получением данных AM фиксингов на платину и палладий (LME/LBMA), которые публикуются ежедневно в 09:45 по Лондону.
Что нужно:
Получать эти данные максимально быстро (в идеале - мгновенно) после их публикации.
Как получать:
Мне не принципиально, какой именно источник вы будете использовать (специализированный API, надежный парсинг или иной метод) - главное, чтобы решение было стабильным и быстрым.
Формат сотрудничества:
Чтобы не усложнять, предлагаю начать с тестового разового запуска, 17 сентября. Мы можем оформить небольшой контракт на эту дату. Если результат нас обоих устроит, с радостью продолжим сотрудничество на регулярной основе (примерно 4 раза в год). Возможно, после успешного теста попробуем работать с другими данными.
Технические детали (формат данных, способ доставки) удобнее обсудить голосом. Если вам интересен такой формат, давайте созвонимся через встроенную функцию Upwork Calls.
Буду рад вашему ответу!
Кстати, я тоже из Молдовы, так что нам будет удобно синхронизироваться по времени

We're a fast-growing ecommerce brand with a lot of proprietary internal systems — custom AI agents, AI chatbots for support, creative strategy tools, leaderboards for our editing team, and various automations. We're looking for an experienced developer to help us maintain, expand, organize, and standardize these systems, and build new ones.

You'll work directly alongside our founder (also a developer) who will give guidance and direction — but we need you to take real ownership of the hands-on work.

Our stack:

- Node.js / TypeScript
- React / Vite
- PostgreSQL and other SQL databases. Firebase occasionally

You don't need to match this 1:1 — we care most about you being a genuinely strong developer who can work across all of it.

Who we're looking for:

- A real developer with solid pre-AI fundamentals — you understand what the code is doing, always
BUT you actively use AI (Claude, Cursor, Copilot, etc.) to code faster and better
- Experienced across front end and back end
- Self-driven, organized, and comfortable taking over manual work without hand-holding
- Looking for a long-term working relationship, not a one-off gig

How we work:

- Pay is per project — we define a scope together, agree on a price, you build it
- Multiple ongoing projects, so consistent work for the right person
- Flexible on payment structure as we go — we pay well for quality
- Any time zone, async-friendly

To apply: Include examples of your previous work — portfolio, GitHub, live projects, or anything that shows what you've built. Real examples matter more to us than anything else.

We are looking for someone with strong experience in cryptocurrency market data who can help us obtain a large historical dataset containing millions of records.

This is not a small scraping task.

We are specifically interested in people who already:

Have access to large crypto datasets
Know reliable crypto data providers/APIs
Have previously collected large-scale exchange data
Have experience working with millions of trading records
Understand tick data, trades, order books, volume, liquidity, and market indicators

The dataset should ideally cover several years of crypto market activity, preferably from around 2016/2017 through recent years.

Data We Are Interested In

Depending on availability, the dataset may include:

Timestamp
Coin/token
Trading pair
Exchange
OHLCV
Individual trades
Trade price
Trade quantity
Buy/sell side
Buy/sell volume
Trade count
Bid/ask
Spread
Order-book data
Order-book depth
Liquidity
Volatility
Price changes
Returns
Volume changes
Market indicators
Technical indicators
Other useful derived market features

We are especially interested in high-frequency data, including:

Tick-by-tick data
Trade-by-trade data
1-second data
1-minute data
Order-book snapshots

Multiple exchanges are preferred.

Examples may include Binance, OKX, Bybit, Coinbase, Kraken, KuCoin, Gate.io, Bitfinex, Poloniex, Bittrex, and others.

Important

We are looking for millions of records, and potentially much more.

You do not need to already own the complete dataset.

You are welcome to apply if you:

Already have the data
Have access to it
Know where to obtain it
Can build a reliable collection pipeline
Have previously worked with similar crypto datasets

There are some specific market-event requirements and filters that we will explain privately to suitable candidates.

When Applying

Please keep your proposal short and answer these questions:

Do you already have access to historical crypto data?
Approximately how many records can you provide or collect?
What years can you cover?
Which exchanges can you cover?
What frequency is available: tick, second, minute, etc.?
Do you have trade-level or order-book data?
What format can you provide: CSV, JSON, Parquet, SQL, etc.?
Can you provide a small sample before we proceed?

If you have already worked with large cryptocurrency datasets, please mention that at the beginning of your proposal.

Location: Remote
Language of Communication: English (Fluent Written & Spoken)
Budget stated includes many milestones at OMG.

Job Type: You are paid based on task milestone. You work in your own time. You check code and understand the task. You create the build journey in Trello and submit your estimated hours for the build. You MUST commit to a completion date that does not change. We fund a milestone and you execute.

Meetings will occur on Sunday, through video calls. This is the only day we meet because the build is founder-led and the founder works elsewhere full-time. You need to have your own working devices and Internet Connection.

Job Overview: We are looking for a skilled PHP Developer with expertise in Laravel to join us in building our project, with a role in the future to lead our technical team, solving bugs and developing critical new functions and features that we have already defined.

The ideal candidate should be well-versed in back-end technologies, developing, and maintaining web applications that meet our needs.

You will also need to be like a chameleon. We are a startup with very specific build timelines and, some topics that need to be solved could be outside your comfort zone. You may work on database optimisation, cache, schema, front-end, back-end, and lots more. You will need to be fluid, excited to learn new technical topics and build an implementation path to a solution.

If you are passionate about web development and have a strong background in PHP, we want to hear from you.

Key Responsibilities: Back-end Development: Design, develop, and maintain server-side logic and databases for web applications using Laravel. Create and optimize database schemas, write efficient SQL queries, and interact with databases for data storage and retrieval. Implement RESTful APIs and integrate third-party services as required.

Ensure web application security by following best practices and addressing common vulnerabilities. Maintain repository by pushing daily updates through git after testing in a staging environment. Code Maintenance and Quality Assurance: Conduct code reviews + troubleshoot and debug issues as needed. Write clean, well-documented, and maintainable code.

Perform thorough testing to ensure the functionality, performance, and security of web applications. Keep up-to-date with emerging web development trends, technologies, and best practices.

Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as a PHP Developer with expertise in Laravel.

Experience with databases (MySQL) and writing efficient SQL queries. Knowledge of RESTful API design and integration.

Familiarity with version control systems (Git, Gitlab and GitHub). Solid understanding of web security best practices. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities. Ability to work independently and manage multiple tasks and projects effectively.

To be shortlisted, when applying, respond to the screening questions accurately.

We're a US-based product sampling and consumer engagement company. We run smart parcel lockers that deliver branded product samples to residents in apartment communities.

Here's the honest picture of how we work, because it determines who fits: our backend is core PHP, and a large part of everything around it — front ends, admin tooling, dashboards — is built with AI tools. That gets us moving fast, but it also means code lands in our repo that nobody has fully read. What we need is a developer who can look at that code and tell us what it actually does, where it's wrong, and what it's quietly going to break.

This is not a "take a ticket, generate a feature, close the ticket" role. We can already generate features. What we can't generate is judgment.

What we're actually hiring for

Reading and auditing existing code — much of it AI-generated — and finding the logic errors, the missing edge cases, the security holes, the queries that will fall over at scale
Understanding our business flow end to end: how a brand campaign becomes a sample assignment, becomes a locker delivery, becomes a resident opt-in, becomes a piece of feedback. You should be able to explain it back to us before you change anything
QA on real flows, not just unit tests — catching the cases where the code runs fine and produces the wrong business outcome
Backend work in core PHP against MySQL/MariaDB
Supabase work: writing and reviewing edge functions, and getting row-level security policies right

Requirements

Strong core PHP — not "I use a framework and it handles that." You should be comfortable in a codebase without one
Solid MySQL/MariaDB: joins, indexes, reading an EXPLAIN, finding the query that's eating the server
Supabase edge functions and row-level security policies — required, not optional. You'll be writing RLS policies and reviewing ones written by an AI that looked correct and wasn't. If you haven't shipped RLS to production, this role isn't a fit
3+ years on production systems with real users
Clear written English. Our communication is async and in writing, and a big part of this job is explaining what you found
At least 4 hours of daily overlap with US Eastern time

What will get you rejected

Changing things you don't understand. If you're the kind of developer who rewrites a system because the pattern looked unfamiliar, or ships a fix without knowing why the bug happened, we'll find out in the first week. We'd much rather you come back and say "I don't understand why this exists yet, here's what I need to know" than quietly refactor it.

How to apply

Skip the cover letter. Answer these in your proposal:

Tell us about a time you were handed code you didn't write and had to figure out what it did. How did you approach it, and what did you find?
Write the RLS policy you'd use so a user can only read rows belonging to their own organization, where org membership lives in a separate table. Actual SQL, a few lines is fine.
What's a mistake you've seen AI-generated code make repeatedly?

Start the first line of your proposal with the word "locker" so we know you read this.

Process

A short call, then a paid audit task (4–6 hours, paid at your rate) where we hand you a real piece of our code and ask you what's wrong with it, then a 1-month paid trial before an ongoing full-time contract.

Rate: $15–30/hr depending on experience. Full-time, long-term.

Contract, fully remote. Long-term, with scope to extend.

PLEASE NOTE: You must be based within UTC+1 to UTC+6. That covers continental Europe, Eastern Europe, the Middle East, East Africa, and South Asia.

Anyone based outside of those time zones cannot be considered for this role.

The role

My client runs two live SaaS platforms in production, both with real paying customers. You'd work across both — full stack, shipping features and hardening production quality.

Both codebases exist, both carry real users, and both need someone who can pick up an unfamiliar system and improve it without breaking it. If your instinct on seeing an existing codebase is to rebuild it, this isn't the role.

The small team (3 developers) work in two-week sprints. The team will grow to around 8 developers in the coming months.

The stack

Frontend: React 19 + Vite on one platform, Angular 18 on the other. TypeScript throughout. Tailwind.
Backend: Node.js, Express, TypeScript
Data: PostgreSQL and Supabase (including row-level security), MySQL, Redis, AI
Infra: Railway, GitHub Actions, RabbitMQ, Sentry
Integrations: Stripe, Twilio, Vapi, Composio

What the client is looking for:

Minimum 2+ years sxperience.
Both React and Angular.
Postgres or MySQL in production: migrations, indexes, multi-tenant data isolation
Evidence-driven debugging — logs, SQL, network tab. Not "works on my machine"

Essential to have clear written and spoken English.
This is not comfy corporate role. The client will want to see productivity, responsibility and team work.
There is a 2 week probation period with 1 day termination for both parties, after which a longer notice period applies.
The client is looking for the right combination of personality and skills fit.

Strong pluses:

Supabase specifically — RLS, auth, edge functions
LLM or AI agent work: tool calling, prompt design, evaluations
Stripe webhooks, Twilio SMS/voice, calendar OAuth
Multi-tenant SaaS: subdomains, roles, permissions

Not a fit:

Pure frontend with no backend or database ownership
Prompt-only AI profiles without schema, auth and deploy experience
Engineers who need detailed specs before they can start — we work outcome-first

To apply

1. Send your CV:
2. A short note on the hardest production bug you've fixed, and how you proved it was fixed
3. Your availability and timezone
4. Your hourly rate in USD

At Apex Growth (apexgrowth.co), accurate data is the foundation of everything we do for paid marketing and our clients.

We’re looking for a Senior Tracking & Attribution Lead to own tracking, pixel, and platform setup across our client portfolio, from browser-side tags to server-side infrastructure to CRM connection points. This person ensures every channel setup is pristine: conversion tracking fires correctly, attribution settings are configured intentionally, B2B lead data flows cleanly from form fill to CRM to ad platforms, and clients can trust the numbers in every report.

You’ll report to the Chief Growth Officer and work closely with our CEO who owns client relationships, and all growth team members to make sure their channels are measured correctly.

The Ideal Candidate:
- Treats tracking as infrastructure, not a checklist: builds scalable, accurate, privacy-compliant setups that hold up as clients grow.
- Is obsessive about data integrity and QA. You debug until the numbers reconcile, and you document what you build.
- Understands the B2B funnel deeply: form fills, MQL/SQL progression, CRM sync, and feeding qualified lead data back to ad platforms for optimization.
- Communicates clearly with non-technical stakeholders, translating tracking decisions into business impact.
- Stays current in a constantly changing landscape: privacy regulation, consent requirements, cookie deprecation, and platform API changes.

What You'll Drive
- Tracking audits and implementations across new and existing clients: full-stack reviews of tags, pixels, conversion events, and attribution settings, with prioritized fix lists.
- Google Tag Manager (web and server): installations, upgrades, dataLayer planning and implementation, custom event configuration, and server-side tagging via GTM Server containers
- GA4 ownership: implementations, enhanced e-commerce tracking, custom definitions, cross-domain tracking, data filters and internal traffic exclusions, server-side GA4, and ongoing debugging and data integrity checks.
- Multi-platform conversion tracking: Meta Pixel and Conversions API (CAPI), Google Ads Enhanced Conversions and offline conversion imports, Microsoft Ads, LinkedIn Insight Tag and conversion events, TikTok, Pinterest, and Reddit.
- B2B and CRM connection points: connect form fills and lead data to CRMs (HubSpot, Salesforce, or similar), configure closed-loop reporting, and pass qualified lead stages back to ad platforms via offline conversions and CAPI.
- Attribution configuration: set and document attribution settings across GA4 and ad platforms intentionally, and be able to explain the tradeoffs to clients and internal teams.
- Privacy and consent: cookie consent solutions, Google Consent Mode v2, and GDPR/CCPA-compliant tracking design.
- Dashboards and reporting support: Looker Studio dashboard builds and troubleshooting, blended data sources, and connector integrations (e.g., Supermetrics).
- QA and monitoring: establish testing processes for every launch, monitor for tracking breakage, and catch data issues before clients do.
- Documentation and training: maintain clear measurement documentation per client and train internal team members on tracking best practices.

# Part-Time Remote .NET Desktop Developer

Our company is looking for a dependable .NET developer to maintain and improve our Windows desktop application used by K–12 schools.

This is a long-term, part-time contract position

## Responsibilities

* Learn and maintain our existing C#/.NET desktop application.
* Troubleshoot bugs and complete application improvements.
* Work with SQL Server, SQL LocalDB, REST APIs, and JSON.
* Test, package, and deploy application updates.
* Support barcode scanners, cameras, and card/pass printers.
* Improve application logging and technical documentation.
* Help move legacy database synchronization to secure HTTPS APIs.
* Use ChatGPT effectively for coding, troubleshooting, testing, and documentation.
* Carefully review and test all AI-generated code before using it.

## Requirements

* Professional C# and .NET development experience.
* Experience with Windows desktop applications using WinForms or WPF.
* Good Microsoft SQL Server skills.
* Experience working with REST APIs.
* Strong experience using ChatGPT or similar AI development tools.
* Ability to understand and improve an existing codebase.
* Good written and spoken English.
* Dependable internet connection.
* Ability to work independently and communicate progress clearly.
* Some availability during U.S. Eastern Time business hours.

Experience with LocalDB, Windows installers, barcode scanners, printers, RabbitMQ, VPNs, or school software is helpful.

## Contract Details

* Remote, part-time contractor position.
* Approximately $10 USD per hour, based on experience.
* Hours will vary according to workload.
* Long-term opportunity for the right person.
* Work and hours must be tracked and documented.
* All source code and documentation created for the project will belong to Swipe K12.

To apply, please provide:

1. Examples of C# Windows desktop applications you have worked on.
2. A description of how you use ChatGPT in your development process.
3. Your experience taking over an existing application from another developer.

I have purchased a new Dell PowerEdge T160 Server and I need to install the following:

1. SQL Server 2017 Database Installer
2. Management Tools
3. Time Matters 16

I also need to move the Database from the old server to the new server, then I need to make sure the employee computers are connecting to the server and care functional.

C# Backend Developer — Agency Hiring

Job Title: C# / .NET Backend Developer

Job Type: Contract / Freelance

About Us

We are a growing software development agency looking for talented C# developers to join our team and work on exciting client projects.

We are seeking a reliable, skilled, and motivated backend developer with strong experience in C# and .NET development. The ideal candidate should be comfortable working independently, collaborating with a team, and delivering high-quality solutions.

Responsibilities

* Develop and maintain backend applications using C# and .NET.
* Build and integrate RESTful APIs.
* Work with databases such as SQL Server.
* Implement business logic, authentication, and backend services.
* Debug, test, and optimize existing applications.
* Collaborate with our team to deliver client projects.
* Write clean, maintainable, and scalable code.
* Communicate progress and meet project deadlines.

Requirements

* Strong knowledge of C#.
* Experience with .NET / ASP.NET Core.
* Experience developing REST APIs.
* Knowledge of SQL Server and database management.
* Understanding of object-oriented programming and software design principles.
* Ability to troubleshoot and solve technical problems.
* Good communication and teamwork skills.
* Previous professional or freelance experience is preferred.

Nice to Have

* Experience with Entity Framework Core.
* Knowledge of Azure or AWS.
* Experience with Git and CI/CD.
* Familiarity with microservices.
* Experience integrating third-party APIs.

What We Offer

* Opportunity to work with a growing software agency.
* Flexible remote collaboration.
* Long-term project opportunities for the right developer.
* A professional and collaborative working environment.
* Competitive compensation based on experience and project scope.

How to Apply

Please send us:

1. A brief introduction about yourself.
2. Your experience with C# and .NET.
3. Examples of relevant projects or your GitHub/portfolio.
4. Your hourly rate or preferred project rate.
5. Your availability and weekly working hours.
6. Your location and time zone.

We look forward to working with talented C# developers who are ready to build great software with us.

We are looking for an experienced Backend Developer to join our development team building a multisided housing platform. You will work closely with our frontend developers and product team to build secure, scalable, and reliable backend systems using Node.js, Express.js, and PostgreSQL. The role involves database design and data modelling, REST APIs, business logic, authentication and authorization, reporting, third-party integrations, validation, security, and performance optimization. We need someone who can translate evolving business requirements into practical technical solutions, identify risks and edge cases, communicate realistic timelines, and deliver production-ready code under tight timelines. Experience with complex platforms, marketplaces, SaaS, fintech, or housing is a plus.

Server & Network Infrastructure Architect – Secure On-Prem Environment for AI, Data, Storage & Security

We are a growing organization that runs 24/7 across multiple departments, with about [150–300] staff users and highly sensitive, regulated data. We are planning a complete on-premise IT infrastructure (with optional hybrid cloud) and need an experienced architect to design it end to end.

This is not just web hosting. We need one secure, scalable environment that covers application hosting, AI workloads, data processing, analytics, storage, network security and access control.

CURRENT SETUP
- Web application: .NET REST API backend + Next.js frontend, with real-time features (SignalR)
- SQL database with sensitive personal and operational records
- Users on the local network and at remote locations
- Plans to run AI models locally so sensitive data never leaves our premises

SCOPE OF WORK

1. Server & Application Hosting
- Physical server sizing (CPU, RAM, storage) for current load and 3–5 years of growth
- Virtualization or container platform (Proxmox, VMware, Hyper-V, Docker, Kubernetes)
- Hosting for the .NET API, Next.js frontend, databases and background services
- Load balancing, reverse proxy, SSL, and separate environments (production, staging, UAT)

2. AI Infrastructure
- GPU server sizing for running LLMs and AI models locally (inference, possibly fine-tuning)
- Model serving stack recommendations (e.g., vLLM, Ollama, Triton)
- Keeping AI workloads isolated and secure from the core systems

3. Data Processing & Analytics
- Database architecture: primary/replica, high availability, performance tuning
- Data warehouse / reporting server kept separate from live transaction data
- ETL pipelines and BI/dashboard tools (e.g., Power BI, Metabase, Superset)

4. Storage, Backup & Disaster Recovery
- NAS/SAN design, RAID levels, capacity planning for documents, images and large files
- Backup strategy (3-2-1 rule, immutable/offline backups, ransomware protection)
- Disaster recovery plan with clear RPO/RTO targets and failover design

5. Network & Cybersecurity
- Firewall selection and setup (e.g., FortiGate, Sophos, pfSense/OPNsense)
- Network segmentation using VLANs (servers, staff, guest Wi-Fi, IoT-type devices, CCTV, AI servers)
- IDS/IPS, endpoint protection, SIEM / centralized logging and monitoring
- Patch management, vulnerability scanning, security hardening baseline

6. VPN & Access Control
- Site-to-site VPN between branches and remote-access VPN for staff and vendors
- Identity management (Active Directory / Azure AD / LDAP), SSO and MFA
- Role-based access control, least-privilege policies, privileged access management
- Audit trails: who accessed which data, and when

7. High Availability & Physical Infrastructure
- UPS, power redundancy, dual internet links with automatic failover
- Server room / rack layout, cooling and environmental monitoring
- Uptime monitoring and alerting (e.g., Zabbix, Grafana, Prometheus)

8. Compliance & Governance
- Design aligned with data-privacy and security best practices (encryption at rest and in transit, data retention, access logging)
- Documentation that can support future security audits

DELIVERABLES
- High-level and detailed architecture diagrams (network, server, data flow)
- Hardware and software bill of materials with recommended brands/models and estimated costs
- Security architecture document (firewall rules approach, VLAN plan, access-control model)
- Backup & disaster recovery plan
- Phased implementation roadmap (what to build first, what can wait)
- Optional: cloud vs on-prem vs hybrid cost comparison

REQUIRED EXPERIENCE
- 7+ years in infrastructure, systems or network architecture
- Proven work designing environments for data-sensitive, 24/7 organizations (finance, government, healthcare, large enterprise, etc.)
- Hands-on experience with firewalls, VPNs, VLANs, virtualization, NAS/SAN and backup systems
- Knowledge of on-prem GPU/AI server deployment is a strong plus
- Security certifications (CISSP, CCNP, CCNA Security, CEH, AWS/Azure Architect, etc.) are a plus
- Clear communicator who can explain technical decisions to non-technical management

IN YOUR PROPOSAL, PLEASE INCLUDE
1. A similar infrastructure you designed or built: the scale, number of users, and your role
2. How you would design remote vendor access without exposing internal servers
3. Your recommended approach for protecting backups from ransomware
4. Whether you have deployed AI/LLM models on local hardware, and which setup you used
5. Your estimated timeline and rate for the design phase

Am looking for someone to work on my 9 acres sport complex plan

we need support to implement iot based auto inspection and jewllery counting if your ready we can do multiple projects

We are looking for an experienced **Senior Full-Stack Developer** to take over and continue development of VirginiaMLS.com, an established real-estate property search platform.

This is an **existing system**, not a project starting from scratch. We currently have a legacy ASP.NET/C# application with Microsoft SQL Server and a newer React application under development.

The developer must be comfortable reviewing and taking over code written by previous developers, troubleshooting problems, and working independently.

**Required experience:**

* React
* ASP.NET / C#
* Microsoft SQL Server
* REST API integration
* Git / GitHub

Experience with **RESO Web API, MLS/IDX/VOW systems, or other large data-driven applications** is a strong plus.

**Strong Microsoft SQL Server skills are particularly important.**

This is a **long-term, part-time position limited to approximately 10 hours per week**. We prefer an individual developer who personally performs the work rather than an agency.

We will begin with a small paid assignment to evaluate technical ability, communication, and quality of work before continuing with ongoing development.

**Please keep your proposal under 200 words.**

Begin your proposal with **“VirginiaMLS”** so we know you read the complete posting.

We are seeking an experienced instructor to teach AI and ML powered data engineering .The ideal candidate will have a strong background in data engineering and AI technologies, ( Someof the skills mandatory are ML , RAG, vector database, docker , Fast API, , optimization , multiagent , chunking , etc ) with the ability to effectively communicate complex concepts to students. Responsibilities include developing and delivering course materials, conducting workshops, and providing mentorship to students and providing and working on real time implementation projects .

Class will be conducted after 6:30 PM EST time . ( it could be 7:00 or 8 pm)

Are you obsessed with turning messy data into dashboards that people can actually understand and use?

Are you extremely comfortable inside Metabase, building dashboards, visualisations, filters and reports without needing someone to hold your hand?

Are you the type of person who can take a business question, understand what needs to be measured, find the underlying data and turn it into a clean dashboard FAST?

We are My Derma Dream! A nearly 9-figure Skin Care brand in the United States since 2022.

We are scaling aggressively and making decisions every day across Marketing, Sales, Finance, Customer Experience, Product and Operations.

BUT…

As the company gets bigger, the volume of data gets bigger with it.

We need someone whose job is to take the data available across the business and turn it into simple, accurate and decision-ready Metabase dashboards.

We are looking for a Metabase Dashboard Creator who loves building.

You will work closely with our Head of Data and business stakeholders to understand what they need to see, identify the relevant metrics and build dashboards that allow our teams to understand what is happening without digging through spreadsheets or raw data.

In order to achieve this, you need to be extremely comfortable with Metabase, SQL, relational databases, dashboard design and business reporting.

If someone asks:
How is revenue trending by channel?
Where are we losing people in this funnel?
What happened this week versus last week?
Which team or campaign is underperforming?

You should immediately start thinking about data sources, joins, metrics, filters, visualisation and how to make the answer obvious.

If you love data but hate dashboards, this isn't for you.

If you need perfect requirements before you can start building, this isn't for you.

If you can move quickly, figure things out and build dashboards that become part of how an entire company operates...

Then APPLY NOW!

===========
Results:

Build and maintain high-quality Metabase dashboards across the business.
Turn business questions into clear metrics, reports and visualisations.
Create dashboards that leadership can use to make decisions without needing manual analysis.
Reduce reliance on spreadsheets and manually produced reports.
Ensure dashboards are accurate, easy to understand and built from reliable data.
Rapidly turn stakeholder requests into functioning dashboard MVPs.
Continuously improve existing dashboards based on business needs.
Create a consistent reporting structure across teams.
Identify incorrect, missing or inconsistent data before it reaches decision-makers.
Build dashboards that allow teams to understand trends, performance, bottlenecks and opportunities at a glance.

===========
Responsibilities:

Build dashboards, charts, tables, scorecards and reports inside Metabase.
Write and modify SQL queries to retrieve and transform data.
Work with the Head of Data to understand available tables, relationships and data models.
Translate stakeholder requests into measurable KPIs and dashboard requirements.
Connect multiple datasets to create useful business reporting.
Build filters including date ranges, teams, products, channels, campaigns and other relevant dimensions.
Create trend reporting including week-over-week, month-over-month and period comparisons.
Build funnel and conversion dashboards.
Build executive-level dashboards that simplify large amounts of information.
Validate dashboard outputs against source data.
Troubleshoot broken queries, incorrect metrics and reporting inconsistencies.
Improve the usability and visual clarity of existing dashboards.
Document important metrics and dashboard logic.
Prioritise dashboard requests based on their impact on business decision-making.
Move quickly from request → MVP → feedback → improved dashboard.
Work closely with Data, Marketing, Sales, Finance and other departments as required.

===========
Requirements:

Strong experience using Metabase.
Strong practical SQL skills.
Experience working with relational databases.
Proven experience creating dashboards used by real business teams.
Strong understanding of KPIs, metrics and business reporting.
Ability to take an unclear business request and determine what should actually be measured.
Comfortable working with large and imperfect datasets.
Strong attention to detail and ability to spot incorrect numbers.
Ability to build dashboards that are simple rather than unnecessarily complicated.
Fast execution and strong figure-it-out ability.
Experience with e-commerce / DTC data is highly preferred.
Experience working with Marketing, Sales or Finance data is a major advantage.
Experience with Shopify, Meta, Google, Amazon or similar datasets is advantageous.
Comfortable working independently in a fast-moving remote environment.
Work 6 days/week.
Work 10 hours/day.
Read 2 books/month.

===========
Reward:


$500 USD per week

100% Remote

Work directly with our Head of Data and help build the reporting infrastructure behind a rapidly scaling nearly 9-figure DTC company.

You will have exposure to data across Marketing, Sales, Finance, Customer Experience, Product and Operations, and the dashboards you create will directly influence how leaders make decisions.

If you are looking for the ride of a lifetime, then APPLY NOW!

Postgres/RLS security reviewer: adversarial testing of a multi-tenant access model (fixed price)

I’m the founder of a UK-based SaaS platform handling sensitive workplace data. The backend is built, migrated and verified. What I need is someone to try to break the access model before the first customer employees use it.

THIS IS NOT A BUILD JOB, AND NOT A GENERIC AUDIT I’ve already done the infrastructure work: provisioning, migration replay, function deployment, grant hardening. I’ve verified everything I can verify by comparison against a known reference. What I cannot do is construct realistic multi-tenant conditions and attack them with genuine intent to find a gap.

WHAT YOU GET TO WORK ON A disposable Postgres/Supabase instance built specifically for this engagement.
SCOPE (four deliverables, full detail in the brief):

Build realistic multi-tenant seed data: multiple tenants, multiple groups, users at four distinct roles including a platform-admin tier

Attempt cross-tenant access as each role, with intent to find a gap rather than confirm its absence.

Sweep every SECURITY DEFINER function that takes a caller identity as a parameter rather than deriving it, where RLS is bypassed and the grant is the only control

Static dependency analysis: every function whose grants change, checked against policies, CHECK constraints, views, generated columns and triggers

DELIBERATELY OUT OF SCOPE Not a migration review. Not an application code audit. Not a penetration test of the hosting platform. Not a compliance assessment.

REQUIREMENTS -
Strong Postgres security: RLS policy composition, SECURITY DEFINER semantics, function-level grants, role impersonation testing.

Supabase experience, specifically how its default grants interact with RLS.
Demonstrable habit of looking for holes rather than confirming their absence.
Comfortable with fixed price: one round of findings, one re-test after fixes.

DELIVERABLE FORMAT A written list of findings with severity and reproduction steps. Not a scanner export. I’d rather have five real issues explained well than fifty lines of tool output.

TERMS NDA before repository access. Fixed price via Upwork escrow.

TO APPLY, PLEASE INCLUDE

1. A multi-tenant access model you’ve tested adversarially, and what you found
2. Your view on where this kind of model usually breaks
3. A price and rough time estimate
Applications that don’t engage with the specifics above won’t be shortlisted.

The role

You will design, build and run the internal operating system of the company: the CRM, the supplier and pricing database, the quoting and RFP workflow, order and provisioning hand-offs, the service desk, billing integration, the partner portal back-office, and the automation layer that connects them. Today most of this does not exist yet — you will build it from a blank page using proven components, then keep it running and improving as we scale.

This is not a traditional IT or software-engineering role. It is a systems, integration, workflow and data role for someone who understands how a commercial business runs end to end (lead → opportunity → quote → order → delivery → service → invoice → renewal) and who can make that lifecycle flow through connected tools with as few manual touches as possible.

What you will do (personally, hands-on)
Select, configure and administer our tool stack: CRM (HubSpot/Zoho/Odoo class), service desk, low-code internal apps, network inventory, dashboards, documentation, identity/SSO.
Design and own the company data model: partner, customer, site, supplier, product, rate card, quote, order, circuit, device, ticket — with stable identifiers shared across systems.
Build our supplier & cost-book system on PostgreSQL (with PostGIS for coverage mapping) and a low-code front-end (Appsmith / Budibase / NocoDB or similar): suppliers, city-by-city coverage, product catalogues, price matrices with full price history, lead times, contracts.
Build the RFP-floating workflow: match sites to suppliers by coverage, dispatch structured RFQs, capture and normalise responses (LLM-assisted parsing with human confirmation), compare, assemble partner quotes with margin and approval rules.
Build the quote-to-cash automation in n8n (or equivalent): CRM ↔ cost book ↔ orchestrator API ↔ service desk ↔ billing, using REST APIs, webhooks and small Python/TypeScript services where needed.
Integrate our SD-WAN orchestration platform's API into the order workflow (tenant creation, device ordering, zero-touch provisioning status).
Deliver the weekly operating dashboards (Metabase or similar) for pipeline, partners, quotes, orders, incidents, supplier performance and revenue.
Apply practical AI automation to back-office work: rate-card document extraction, email parsing, ticket triage, knowledge-base upkeep.
Write the documentation: systems map, runbooks, process flows — so any new hire understands how the company works within a day.
First 90 days
Month 1: systems map and data model published; CRM live with partner-of-record controls; service desk live.
Month 2: supplier & cost-book v1 loaded for our anchor markets; RFQ dispatch and capture working; CRM integrated.
Month 3: first partner quote produced end-to-end by the system; portal v0 (onboarding, deal registration, training, tickets) assembled from the stack; first operating dashboard in weekly use.
Requirements
5+ years in business systems, integration engineering, revenue operations or platform operations — ideally at a telecom, MSP, SaaS or marketplace company.
Hands-on with a workflow automation platform (n8n, Make, Zapier, Airflow, Temporal) and comfortable coding (Python or TypeScript) when the platform is not enough.
Strong relational-data skills: PostgreSQL schema design, SQL for reporting. PostGIS or geodata experience is a plus.
Experience administering a CRM and a service desk, and building internal tools on a low-code platform.
API fluency: REST, OAuth, webhooks, rate limits, idempotency, error handling. You can read vendor API docs and build against them unaided.
Practical experience using LLM APIs for document extraction or back-office automation.
Process-minded and documentation-disciplined. You default to structured data over spreadsheets and email.
Comfortable being an individual contributor for an extended period: you build, you operate, you own the outcome.

We’re looking for an experienced **Full-Stack Developer** to urgently troubleshoot and resolve a data-related issue in an existing **Healthcare Analytics Dashboard**.

The dashboard is already live and actively processes healthcare-related data through the database, backend/API, and frontend. The main issue we’re currently seeing is **inconsistent appointment metrics when different filters are applied**.

For example, the overall appointment count may appear correct, but after applying filters such as:

* Date range
* Provider
* Facility
* Appointment status
* Other dashboard filters

the results may become inaccurate. In some cases, the same appointment may be counted more than once, while in other cases the filtered results may not match the underlying data.

**This issue needs to be resolved urgently**, as accurate appointment metrics are important to the functionality and reliability of the dashboard.

We need someone who can investigate the issue **end to end**, rather than simply making adjustments to the frontend display. The work may involve reviewing:

* Database structure and relevant PostgreSQL/SQL queries
* Backend logic and data-processing functions
* API endpoints and responses
* Filtering and aggregation logic
* Relationships between relevant database tables
* Frontend/dashboard filtering behavior
* Potential duplicate records or incorrect joins
* How appointment data is transformed between the database, API, and dashboard

The goal is to identify the **actual root cause of the inconsistent metrics** and implement a reliable fix without disrupting existing dashboard functionality.

This is **not a simple UI or frontend task**. The issue may involve the interaction between the database, backend, API, and frontend, so strong full-stack debugging and problem-solving skills are essential.

### Required Experience

The ideal developer should have hands-on experience with:

* React / Next.js
* TypeScript / JavaScript
* Node.js and/or Python
* PostgreSQL / SQL
* REST APIs
* Data processing and aggregation
* Analytics dashboards
* Full-stack debugging

Experience with **healthcare data, healthcare applications, or other data-intensive production systems** is a strong plus.

### Portfolio & Relevant Experience — Required

To be considered, you **must provide relevant portfolio examples and specific examples of similar issues you have previously worked on and resolved**.

Please include relevant projects or case studies that demonstrate your experience with areas such as:

* Data-driven or analytics dashboards
* Database and SQL debugging
* API or backend data issues
* Data consistency, filtering, aggregation, or duplicate-record problems
* Similar production-level full-stack issues

**Proposals without relevant portfolio examples or specific case studies will not be considered.** We are looking for demonstrated experience with similar real-world problems, not just a list of skills.

### Initial Project & Budget

The initial project is a **$50 fixed-price project** to investigate the current issue, identify the root cause, and implement the appropriate fix.

**Please do not submit a proposal with a bid above $50. Proposals exceeding the $50 budget will not be considered.**

If the initial issue is successfully resolved, we expect there may be **approximately 5–10 hours of additional work per month** for ongoing dashboard maintenance and development.

Future work may include troubleshooting, dashboard updates, new analytics features, data processing improvements, API integrations, database improvements, performance optimization, and other full-stack development tasks.

We’re looking for a strong senior full-stack developer to build and ship real-world products across e-commerce, FinTech, EdTech, SaaS, and AI, taking ownership from development through production. This is intended as long-term collaboration (not a one-off task), and production experience matters more to us than just listing technologies.

- Build scalable applications across e-commerce, FinTech, EdTech, SaaS, and AI use cases
- Develop scalable Python/FastAPI backend services, including REST APIs and third-party integrations (including AI/API integrations)
- Build modern React/Next.js applications using TypeScript (with Node.js as needed)
- Implement AWS-based production infrastructure, including Docker and CI/CD
- Work with PostgreSQL plus SQL/NoSQL data stores as required
- Own delivery end-to-end: understand requirements, make architectural decisions, solve complex technical problems, and take work to production

- Please do not send a generic proposal.
- Include your years of professional experience with Python, FastAPI, React/Next.js, Node.js, and AWS.
- Include 2–3 relevant projects you personally worked on (preferably e-commerce, FinTech, EdTech, SaaS, or AI).
- For your strongest project, explain what you built, your role, the stack/architecture, and one difficult problem you solved.
- Share your GitHub, portfolio, or live work.
- Share your current availability and weekly capacity.
- Generic or copy-pasted proposals may not be considered.

We are an IT services company and we're looking for an MIS & Data Analysis specialist to build and maintain our recurring management reports.

Our data currently sits across Excel exports, Google Sheets and our project management and HR tools ( Zoho). We need it consolidated into clean, reliable reports and dashboards that leadership can use to track delivery and resource performance.

What you'll do

Consolidate and clean data from multiple sources (Excel/CSV exports, Zoho, timesheets)
Build and maintain daily, weekly and monthly MIS reports in a consistent format
Create dashboards tracking KPIs such as billable utilization, resource allocation, project margins, ticket SLA/TAT, attrition and hiring pipeline
Set up Power Query and templates so reports refresh with minimal manual effort
Do variance analysis and flag trends, exceptions and outliers
Share a short written summary of insights with each reporting cycle

What we're looking for

2+ years of MIS reporting / data analysis experience, preferably in IT or ITES
Advanced Excel: Power Query, pivot tables, XLOOKUP/INDEX-MATCH, SUMIFS, conditional formatting
SQL for pulling and joining data — good to have
Ability to structure messy, inconsistent data independently
Strong accuracy — numbers must reconcile
Clear written English and a few hours of overlap with IST working hours

Engagement

Initial build of 4–5 reports/dashboards, then ongoing monthly maintenance
Approx. 30- 40 hours per week to start
Monthly pack due by the 3rd working day; weekly report every Monday

To apply, please include

A short note on similar MIS or dashboard work you've done
1–2 dashboard samples or screenshots (dummy data is fine)
Which tools you'd recommend for this setup and why
Your weekly availability and timezone

Start your proposal with the word MIS-READY so we know you've read the full brief. Generic proposals will be ignored.

Shortlisted freelancers will be given a small paid test task before we award the full project.

Developer Requirements — Fan-to-Celebrity Gift Web App (Version 1)

1. Project Goal

I want to build a fully functional, production-ready Web App, not a demo or clickable prototype.

The platform will allow fans to request/send physical gifts to celebrities, actors, influencers and creators while protecting the celebrity's private address.

Initially, there will be one central collection/processing station in Delhi.

The Web App should be designed so that an Android app can be developed later using the same backend/database architecture.

---

2. Main User Roles

There will be three main roles:

1. Fan
2. Celebrity / Influencer / Creator
3. Admin

Each role should have appropriate login, dashboard and permissions.

---

3. Main Fan Features

The Fan should be able to:

- Create an account
- Complete mandatory identity verification
- Search for celebrities/creators
- View celebrity profiles
- Request/invite a celebrity who has not joined the platform
- Submit a gift request
- Receive a unique Gift ID
- Receive/use a QR code linked to the Gift ID
- Enter gift category/details
- Declare food/fragile/letter/etc.
- Track gift status
- Receive notifications
- See whether the gift is Accepted, Not Accepted, Returned, etc.
- Choose anonymous identity visibility to the celebrity where applicable

Basic fan functionality should remain equally available to users.

---

4. Celebrity / Influencer Features

Celebrity/Influencer should be able to:

- Create/login to account
- Complete mandatory identity verification
- Manage profile
- Receive threshold notifications
- See fan/request information according to privacy rules
- See gift information
- See gift status
- Accept gifts
- Not Accept gifts
- Request/allow return where applicable
- Receive relevant notifications

The public profile must NOT expose the private address or sensitive verification information.

There should be no public rejection leaderboard or public rejection count.

---

5. Non-Joined Celebrity Request System

Fans should be able to request/invite a celebrity who has not joined the platform.

The system should maintain separately:

- Unique number of fans requesting that celebrity
- Total number of requests/activity

Example:

100 unique fans does not necessarily mean 100 total requests.

The same fan should not be able to create unlimited unique requests for the same non-joined celebrity.

Threshold System

- Below 100 unique fans: no public threshold indication
- At 100+ unique fans: public threshold/interest indicator may appear
- Around 150 unique fans: stronger invitation/outreach notification can be triggered

Threshold values should ideally be configurable by Admin.

---

6. Gift System

Each gift should receive a unique Gift ID.

Example:

GFT-000184

A QR code should be generated and linked to the Gift ID.

Gift categories may include:

- Clothing
- Books
- Letter / Note
- Handmade
- Food
- Fragile
- Other permitted items

The Fan should be able to declare relevant information such as:

- Gift category
- Food or non-food
- Fragile or non-fragile
- Letter/note
- Description
- Handling information

---

7. Gift Physical Flow

Stage 1 — Fan → Collection Station

The Fan sends the parcel using an existing courier/postal service.

The platform will NOT initially operate its own courier fleet.

Stage 2 — Collection Station

Station staff should be able to:

- Identify Gift ID / QR
- Verify that the gift belongs to the correct celebrity
- Check external package condition
- Check declared category/handling information
- Identify damaged/suspicious parcels according to SOP
- Update "Received at Station"
- Store/process the parcel appropriately

Important Handling Rules

The system should NOT require staff to routinely open every sealed parcel.

Personal letters/notes should not be unnecessarily read.

If original packaging is intact, it should not automatically be repacked.

Additional outer protection should be used only when necessary, such as damage, weak packaging or fragile-item protection.

Stage 3 — Station → Celebrity / Management

The platform will forward the gift using an existing courier/postal service.

Suggested statuses:

Received at Station → Processing → Dispatched → Delivered

Then:

Accepted / Not Accepted / Returned / Other applicable status.

---

8. Food Gifts

Food should have special handling.

The system should capture:

- Food declaration
- Received date/time
- Expiry/use-by information where available
- Urgent handling requirement

Food-related gifts should trigger faster notification/processing.

---

9. Courier Charges

The system should support displaying/calculating courier charges for:

1. Fan → Collection Station
2. Collection Station → Celebrity/Management

Exact courier API integration is NOT mandatory for Version 1.

Please recommend the simplest reliable implementation for Version 1.

---

10. Identity Verification — IMPORTANT

Every Fan and Celebrity/Influencer must complete identity verification.

The system should support:

- Verification ID
- Government ID verification
- Live document capture where technically possible
- Document quality checks
- Face verification
- Liveness check
- Face/document matching
- Automatic verification where supported
- Manual Admin review for unclear/suspicious cases
- Resubmission after failure

Possible document types:

- Aadhaar
- Driving Licence
- PAN
- Passport
- Voter ID
- Other Admin-approved government ID

Verification data must NEVER be publicly accessible.

The developer must clearly explain whether verification will be:

- In-house
- Third-party KYC/verification provider
- Hybrid

Please provide:

- Provider name/options
- API/integration cost
- Per-verification charges
- Storage/security implications
- Supported documents
- Automatic/manual verification process
- Failure/resubmission handling
- Data retention/deletion process
- Privacy/security limitations

This part is technically important and should be separately estimated.

---

11. Admin Dashboard

Admin should be able to manage:

- Users
- Celebrities
- Requests
- Unique fan counts
- Gift records
- Gift statuses
- Verification statuses
- Manual verification reviews
- Threshold settings
- Notification settings
- Gift categories/statuses
- Verification document types
- Attempt limits
- Retention period
- Suspicious activity
- Reports

Basic reports are required.

Advanced analytics are NOT required in Version 1.

---

12. Notifications

The system should support relevant notifications such as:

- Request submitted
- Gift received
- Gift processing
- Gift dispatched
- Gift delivered
- Gift accepted
- Gift not accepted
- Gift returned
- Verification submitted
- Verification successful
- Verification failed
- Resubmission required
- Manual review
- Threshold reached

Please recommend the most cost-effective notification system for Version 1.

---

13. Security & Privacy

The Web App must include production-level basic security, including:

- HTTPS/SSL
- Secure authentication
- Password hashing
- Role-based access
- Admin protection
- Input validation
- Rate limiting
- Spam protection
- Secure database
- Audit logs
- Backups
- Secure verification-document storage
- Encryption/secure storage where required
- No public access to verification documents
- Access logging
- Data retention/deletion policy
- Suspicious activity monitoring

Security and privacy should not be compromised to reduce development scope.

---

14. Features NOT Required in Version 1

Please do NOT include unnecessary complexity in the Version 1 quotation.

The following are NOT required initially:

- iPhone/iOS app
- Android app
- AI chatbot/live chat
- Advanced AI features
- Advanced analytics
- Multiple warehouses
- Own courier fleet
- Complex courier API integrations
- Complicated premium subscription system
- Unnecessary third-party integrations

The architecture should nevertheless allow these features to be added later.

---

15. Future Android & Ownership

Android is planned for a later stage.

The Web App should therefore use a backend/database architecture that can later support an Android application.

After completion, I must have ownership/access to:

- Complete source code
- Git repository
- Database structure
- Backend
- Deployment configuration
- Domain
- Hosting
- Admin credentials
- API/configuration documentation
- Backup
- Verification integration documentation

Important project accounts should remain under my/company control.

---

Information Required From the Developer

Please review the complete requirements before providing a quotation.

I would like you to provide:

A. Fixed Development Cost

Please provide your best fixed-price quotation for the complete Version 1 Web App based on the requirements above.

Please clearly state what is included in the quoted amount.

B. Timeline

Please provide the estimated development timeline in days/weeks and the expected milestones.

C. Technology

Please recommend the technology stack for:

- Frontend
- Backend
- Database
- Hosting
- Authentication
- QR system
- Notification system
- Payment system, if required
- Verification/KYC system

D. Technical Complexity

Please identify which requirements you consider technically complex or requiring special implementation.

Please comment separately on:

1. Identity verification/KYC
2. Live document capture
3. Face matching
4. Liveness detection
5. Gift ID + QR workflow
6. Multi-role dashboards
7. Gift tracking/status system
8. Threshold/request counting system
9. Notification system
10. Security/privacy
11. Courier charge calculation
12. Future Android-compatible architecture

E. Third-Party Costs

Please clearly separate:

Developer development cost

from:

Third-party/API/hosting/domain/verification/notification/payment costs.

Please specify which costs are:

- One-time
- Monthly
- Per-use/per-verification

F. Testing

Please confirm that you will test complete end-to-end flows for:

- Fan
- Celebrity
- Admin
- Gift
- QR
- Verification
- Failed verification
- Blurry document
- Unsupported document
- Expired document
- Face mismatch
- Liveness failure
- Resubmission
- Manual review
- Successful verification
- Gift status updates

G. Ownership

Please confirm that after completion I will receive:

- Complete source code
- Git repository
- Database
- Deployment access
- Domain/hosting access
- Admin access
- API/configuration documentation
- Backup
- Verification integration documentation

H. Payment

I prefer milestone-based payment rather than 100% payment upfront.

Please suggest your milestone structure.

I. Post-Launch Support

Please specify:

- Bug-fixing period after launch
- What is included in free support
- Monthly maintenance cost, if any
- Cost of future feature development

---

Important

Please provide an honest technical assessment of the complete requirements.

Do not simply confirm that everything is possible.

If any requirement needs a separate technical approach, third-party service, additional development effort, or additional cost, please clearly identify it in the quotation.

Please provide the quotation and technical assessment after reviewing the complete requirements.

I’m seeking an experienced technical consultant to provide guidance and oversight for a data centre move. I’m already managing the project and coordinating technical teams, but I need someone who can help me understand and navigate the technical aspects, including DMZ, F5/load balancers, NTP, Core/SD-WAN, and related network infrastructure. This role is not about taking over the project, but rather acting as a technical sounding board, helping identify risks and dependencies, and guiding me through key considerations and questions to ask the technical teams.

AI-Native Full-Stack Product Engineer — Next.js, Node/NestJS, Shopify & WordPress

About Webb9

Webb9 is building an AI-first technology platform for small and growing businesses.

We develop websites, business dashboards, SaaS tools, AI-powered business solutions, e-commerce products, integrations, mobile applications and other software designed to help businesses manage their operations and grow.

Our products connect areas such as websites, customer enquiries, leads, bookings, jobs, scheduling, invoicing, payments, reviews, messaging, AI receptionists, AI chatbots and business operations.

In addition to the Webb9 platform itself, we develop:

SaaS and business dashboards
Shopify apps
Shopify themes
WordPress plugins
WordPress themes
E-commerce products
AI-powered business tools
Web applications
APIs and integrations
Mobile and PWA products
Internal and commercial software products

We are now looking for an AI-Native Full-Stack Product Engineer to become an important part of our product development team.

This Is an AI-First Engineering Role

This is not a traditional development position where we expect the engineer to manually type every line of code.

Webb9 makes extensive use of advanced AI coding tools and development agents.

AI may perform a very large percentage of implementation work, including generating code, creating components, implementing features, writing tests, debugging, refactoring, generating documentation, reviewing code, creating database schemas, building APIs and assisting with deployment.

Your role is therefore much more important than simply producing code.

You will be responsible for directing, supervising, validating and improving the work produced by AI and ensuring that everything ultimately delivered by Webb9 is secure, maintainable, scalable and production-ready.

You must know enough about software engineering to recognise when AI-generated code is wrong even when it looks correct.

We are looking for someone who combines strong software-development fundamentals with an AI-first approach to building products quickly.

What You Will Work On

1. Webb9 Business Platform and Dashboards

Develop and maintain SaaS dashboards and business-management systems using technologies such as:

React.js
Next.js
TypeScript
JavaScript
Node.js
NestJS
PostgreSQL
REST APIs
WebSockets where required

Examples of functionality may include:

Leads and CRM
Customer management
Booking systems
Job and work-order management
Scheduling
Dispatch
Quotes
Invoicing
Payments
Reviews
Analytics
Messaging
Team management
Roles and permissions
Reporting
Notifications
AI-powered features
Third-party integrations

These products are intended for real businesses and must therefore be production-quality.

2. Shopify Development

You may work on both Shopify apps and Shopify themes.

Responsibilities may include:

Shopify app development
Public and private or custom Shopify apps
Shopify Admin API
Storefront API
Shopify webhooks
OAuth
Billing and subscriptions
Shopify extensions
Embedded applications
Liquid
Shopify theme development
Shopify Online Store 2.0
Sections and blocks
Theme customization
Theme performance
App and theme compatibility
Publishing and maintenance

Experience developing commercial Shopify apps or themes is highly desirable.

3. WordPress Development

You may also develop and maintain:

WordPress plugins
WordPress themes
Custom WordPress functionality
WooCommerce integrations
WordPress APIs
Gutenberg blocks
Admin interfaces
Third-party integrations
Commercial themes and plugins
Performance and security improvements

We are particularly interested in developers who understand how to build WordPress products properly rather than only modifying existing templates.

4. APIs and Integrations

Webb9 connects with external platforms and business tools.

You may work with:

Payment gateways
Accounting systems
CRM systems
Messaging platforms
Email services
AI APIs
Google services
Social platforms
E-commerce platforms
Telephony systems
Webhooks
OAuth integrations
Third-party REST and GraphQL APIs

You should be comfortable reading API documentation and using AI to accelerate implementation while independently verifying that the integration is correct.

5. AI-Powered Products

You will help us develop products where AI is part of the actual software, including tools for:

Customer support
Business automation
AI receptionists
Chatbots
Lead qualification
Content generation
Business intelligence
Workflow automation
Data analysis
Other industry-specific AI tools

Experience integrating LLM APIs or AI services is an advantage.

Your Most Important Responsibility: AI Code Supervision

We want someone who is very comfortable using AI for software development.

You may use tools such as:

ChatGPT and Codex
Claude Code
Cursor
GitHub Copilot
Other coding agents
AI testing tools
AI design-to-code tools
Automation, no-code and low-code tools where appropriate

However, blindly accepting AI-generated code is unacceptable.

You will be expected to:

Write clear instructions, prompts and specifications for coding agents
Break large requirements into manageable implementation tasks
Inspect AI-generated code
Verify that requirements were actually implemented
Detect hallucinated or incomplete implementations
Identify bugs
Review architecture
Review pull requests
Detect security vulnerabilities
Check authentication and authorization
Review database design
Identify inefficient queries
Identify performance problems
Detect unnecessary dependencies
Remove duplicated or dead code
Ensure correct error handling
Identify missing edge cases
Verify responsive behaviour
Check accessibility
Ensure tests are meaningful
Run and review automated tests
Add missing tests
Review migrations
Verify APIs
Debug integration problems
Refactor poor AI-generated code
Verify builds before deployment
Review production logs
Investigate regressions
Ensure documentation remains accurate

AI should accelerate you.

It should not replace your engineering judgment.

Required Technical Skills

You do not need to be the world's leading expert in every technology listed below.

However, you should have strong full-stack fundamentals and be capable of learning unfamiliar technologies quickly with AI assistance.

Strong experience is expected in most of the following:

JavaScript
TypeScript
React.js
Next.js
Node.js
REST APIs
SQL
PostgreSQL or similar relational databases
Git
GitHub
Responsive web development
HTML
CSS
Authentication
Role-based permissions
API integration
Testing
Debugging
Deployment

Strongly Preferred

Experience with several of the following will substantially strengthen your application:

NestJS
Shopify app development
Shopify theme development
Shopify Liquid
WordPress plugin development
WordPress theme development
WooCommerce
Redis
Docker
CI/CD
Linux
VPS or cloud deployment
WebSockets
Queues and background jobs
Stripe or other payment systems
Firebase
AWS, GCP or Azure
Third-party API integrations

Python

Our current primary stack is largely JavaScript and TypeScript-based.

However, we intend to use more Python in the future.

Experience with any of the following is therefore an advantage:

Python
Django
Django REST Framework
FastAPI
AI and ML development using Python

Python experience is preferred but is not mandatory for an otherwise excellent candidate.

Additional Technologies — Advantage, Not Requirement

Experience with any of the following would also be useful:

Chrome and browser extension development
Google Workspace applications and add-ons
Google Apps Script
Desktop application development
Electron
Tauri
Progressive Web Apps
Flutter
Kotlin
Swift

You are not expected to be an expert in all of these.

Product Engineering Mindset

This role is not simply about completing tickets.

We want someone who asks questions such as:

Does this feature actually solve the requirement?

What happens when the API fails?

What happens when there are 100,000 users?

What happens if a user has the wrong permission?

Is this implementation secure?

Is this database design sensible?

Is there already functionality that does the same thing?

Is the AI introducing unnecessary complexity?

Are important edge cases missing?

Will another developer understand this six months from now?

Is this actually ready for production?

You should be comfortable challenging AI-generated solutions and proposing a better approach.

Quality Standards

Before considering work complete, you should be able to verify:

Functional correctness
Code quality
Security
Performance
Responsiveness
Accessibility
Cross-browser behaviour
Proper error handling
Proper validation
Database integrity
API correctness
Automated tests
Regression risk
Deployment readiness
Documentation

AI says it is complete is not a definition of done.

The product must actually work.

Location

We are primarily looking for candidates based in India.

Candidates located anywhere in India are welcome to apply.

Kerala

Being based in Kerala is a strong advantage, particularly candidates around:

Kochi and Ernakulam
Thiruvananthapuram
Kozhikode
Thrissur
Kottayam
Or elsewhere in Kerala

However, being located in Kerala is not mandatory.

This position can initially be performed remotely.

Webb9 intends to expand its technology operations in Kerala, so an excellent Kerala-based candidate may have the opportunity to work more closely with our local team or potentially join our Kerala operation in the future.

Candidates elsewhere in India will still receive full consideration.

Working Arrangement

We are looking for someone interested in a long-term relationship, not merely completing one small project.

Initially, the engagement will be through Upwork.

For the right person, this can become an ongoing position working across multiple Webb9 products.

We anticipate approximately 30 to 40 hours per week depending on experience, productivity and project requirements.

There may also be an opportunity for a future longer-term or full-time relationship.

Who We Are Not Looking For

Please do not apply if:

You cannot independently understand code without AI
You accept AI-generated code without reviewing it
Your experience is limited to page builders
You only know how to customize existing WordPress themes
You rely entirely on copy and paste development
You cannot debug without asking AI for every answer
You cannot explain code generated by your AI tools
You are uncomfortable reviewing a large existing codebase
You have no understanding of testing
You have no understanding of Git
You regularly mark incomplete functionality as finished
You are interested only in completing isolated tasks rather than understanding the product

We welcome extensive AI usage.

We do not welcome blind AI usage.

Who Will Thrive Here

You are likely to do well if you:

Enjoy building products
Use AI heavily
Are technically curious
Learn new frameworks quickly
Can supervise coding agents
Think logically
Have strong debugging skills
Pay attention to details
Test your own work
Take ownership
Communicate clearly
Admit when something is unclear
Ask good questions before implementing something incorrectly
Can work independently
Understand product requirements, not just code
Care about production quality
Are excited about shipping many different software products

Application Instructions

Please begin your application with:

WEBB9 AI ENGINEER

This helps us distinguish candidates who have actually read the job description.

Then answer all of the screening questions below.

Please do not send only a generic agency introduction.

We are primarily interested in understanding what you personally have built and what you personally know.

Screening Questions

1. Your Core Stack

Rate your current practical ability from 1 to 10 in each of the following and include your approximate years of experience:

JavaScript
TypeScript
React.js
Next.js
Node.js
NestJS
PostgreSQL
Shopify apps
Shopify themes and Liquid
WordPress plugins
WordPress themes
WooCommerce
Python
Django
Docker
Linux and server administration

Please be realistic. We do not expect 10 out of 10 in everything.

2. AI Development Experience

Which AI coding tools do you currently use?

Examples include ChatGPT, Codex, Claude Code, Cursor, GitHub Copilot or other coding agents.

Explain:

Which tools you use
How frequently you use them
What you allow AI to do
What you always verify yourself
How AI has changed your development workflow

3. AI Makes a Mistake

Give us a real example where an AI coding tool generated code that looked reasonable but was actually incorrect, insecure, incomplete or poorly architected.

What was wrong?

How did you identify it?

How did you fix it?

4. Reviewing a Large AI-Generated Codebase

Imagine you inherit an application containing more than 500 files, much of which was created using AI.

The application appears to work, but management wants to know whether it is genuinely production-ready.

Describe the process you would follow to audit it.

Be specific.

5. Shopify

Describe your Shopify development experience.

Have you personally developed:

Shopify apps?
Shopify themes?
Shopify extensions?
Shopify API integrations?

Please provide links to examples where possible and explain exactly what you personally implemented.

6. WordPress

Describe your WordPress development experience.

Have you personally developed:

Plugins from scratch?
Themes from scratch?
WooCommerce extensions?
Gutenberg blocks?
WordPress API integrations?

Please distinguish actual development from installing or configuring existing plugins.

7. SaaS and Dashboard Experience

Show us the most technically substantial SaaS platform, dashboard, CRM, ERP or business-management product you have worked on.

Explain:

The technology stack
What the product did
Your role
What you personally implemented
The hardest technical problem you solved

8. Debugging

A customer reports:

The dashboard sometimes creates duplicate invoices when the network is slow, but we cannot reproduce it consistently.

Explain how you would investigate this problem.

We are interested in your reasoning, not simply the final solution.

9. GitHub and Portfolio

Please provide:

GitHub profile
Portfolio
Live products
App, Shopify or WordPress marketplace links
Relevant repositories

For team projects, tell us exactly what you personally contributed.

Private or commercial work that cannot be shared publicly is understandable. Describe it instead.

10. Location and Availability

Please tell us:

City
State
Whether you are currently based in India
Whether you are based in Kerala
Hours available per week
Current notice period, if any
Whether you would be interested in potentially working with a Webb9 team in Kerala in the future

Being outside Kerala does not disqualify you.

Selection Process

Our hiring process is intended to test practical engineering ability rather than interview memorization.

Shortlisted candidates may go through the following stages.

Stage 1 — Application Review

We review your technical background, products, GitHub or portfolio and responses.

Stage 2 — Video Interview

We discuss:

Your projects
AI-assisted development
Architecture
Debugging
Code review
Shopify and WordPress experience
Product development
Availability

Stage 3 — Paid Technical Assessment

Strong candidates may be offered a paid assessment.

This is not intended to be unpaid production work.

You may be provided with a small existing project or AI-generated implementation and asked to audit it.

You will be allowed and encouraged to use AI tools.

We may ask you to identify:

Bugs
Security problems
Architectural issues
Incomplete requirements
Performance problems
Poor database decisions
Missing tests
Accessibility issues
Edge cases
Deployment risks
Unnecessary complexity

You may then be asked to correct a limited number of the issues.

We are deliberately allowing AI because we want to evaluate how effectively you direct, review and control AI, rather than measuring how quickly you manually type code.

Stage 4 — Long-Term Engagement

The strongest candidate will be offered an ongoing Upwork engagement and will begin working across Webb9 products.

What Success Looks Like

We are looking for someone who can take a requirement such as:

Build this feature end-to-end

and reliably turn it into:

Requirement to architecture to AI implementation to review to testing to corrections to documentation to deployment-ready product

without management having to discover afterwards that half of the requirements were missed.

We value quality, speed, ownership and intelligent use of AI.

If this sounds like how you prefer to build software, we would like to hear from you.