Freelance SQL programmer jobs, employment

We are looking for an experienced Full Stack & AI Engineer to build intelligent applications powered by LLMs, Retrieval-Augmented Generation (RAG), and agentic AI workflows.

You should have strong Python and full-stack development skills, along with hands-on experience designing and implementing AI agents, multi-agent systems, and production-ready AI applications.

You will work on real-world projects involving private knowledge bases, intelligent automation, database querying, API integrations, and AI-powered business solutions.

Key Responsibilities

Design, develop, and deploy full-stack applications with integrated AI capabilities.

Build RAG pipelines for querying private documents, databases, and enterprise knowledge bases.

Develop AI agents capable of reasoning, tool calling, decision-making, and multi-step task execution.

Implement multi-agent workflows using LangGraph, LangChain, CrewAI, or similar frameworks.

Integrate LLMs such as OpenAI, Anthropic Claude, and Google Gemini.

Develop REST APIs and backend services using Python and FastAPI.

Implement semantic search, embeddings, vector databases, and advanced retrieval techniques.

Build Text-to-SQL solutions and AI-powered database assistants.

Integrate AI workflows with existing applications, databases, and third-party services.

Improve AI accuracy, performance, reliability, security, and cost efficiency.

Deploy and maintain AI applications in cloud or containerized environments.

Required Technical Skills

AI & Agent Engineering

Strong hands-on experience with Python and LLM application development.

Practical experience building RAG applications.

Experience with LangChain and/or LangGraph.

Experience building agentic AI workflows and multi-agent systems.

Knowledge of prompt engineering, tool calling, structured outputs, and conversation state management.

Experience integrating OpenAI, Claude, Gemini, or other LLM providers.

Backend & Full Stack

Python, FastAPI, REST APIs, and backend architecture.

Frontend development using React, Angular, or similar frameworks.

SQL databases such as PostgreSQL, SQL Server, or MySQL.

Vector databases such as Qdrant, Chroma, Pinecone, Weaviate, or pgvector.

Git, Docker, and application deployment.

Nice to Have

Experience with CrewAI or other multi-agent orchestration frameworks.

Advanced RAG techniques, including hybrid search, reranking, query rewriting, and metadata filtering.

Knowledge graphs and graph-based retrieval.

AI-powered workflow automation and human-in-the-loop approvals.

AI evaluation, observability, tracing, and prompt-injection defenses.

Experience with .NET/C# and integration of AI solutions into enterprise applications.

Experience building secure, multi-tenant SaaS applications.

Ideal Candidate

We are looking for someone who has built and deployed working AI applications, not just completed tutorials or experimented with basic chatbot examples.

You should be able to make sound architectural decisions, write clean and maintainable code, troubleshoot complex problems, and take ownership of features from development through deployment.

How to Apply
Please submit your updated CV/resume in European format (Europass format preferred) along with your Upwork proposal.

Your application should include:

Your professional summary and relevant work experience.

Technical skills in Python, RAG, LangChain, LangGraph, CrewAI, and full-stack development.

Details of AI projects you have built and deployed.

Links to your GitHub, portfolio, or live project demos.

Your hourly rate and availability.

Please highlight your hands-on experience building production-ready RAG applications, agentic AI workflows, and multi-agent systems.

Applications without a CV/resume and relevant project experience may not be considered.

We’re looking for a Data Scientist to evaluate AI-generated analyses using real datasets. You’ll assess statistical rigor, challenge the reasoning behind conclusions, and provide clear feedback to help improve future AI models.

The work is remote, you have to be able to work a minimum of 10 hours per week. You can make your own schedule. If you would like to work 40+ hours per week, you can.

I will be conducting brief interviews via Zoom to answer any questions that you may have. The Zoom meeting will help me expedite your onboarding. I look forward to you joining our team!

What You’ll Do
- Review AI-generated analyses for appropriate methods, valid assumptions, and conclusions supported by the data.
- Identify statistical issues such as data leakage, p-hacking, confounding, and unsupported claims.
- Develop improved analyses when needed, using sound methodology, clearly stated uncertainty, and actionable takeaways.
- Write clear, well-supported evaluations explaining what the model got right, what it missed, and how to improve it.
What We’re Looking For
- Professional, academic, or substantial independent experience analyzing real datasets.
- Proficiency in Python, SQL, and notebooks.
- Strong statistical reasoning and the ability to assess analytical methods critically.
- Clear written English and the ability to explain technical findings.

- No degree required; demonstrated skills and experience matter most!

Data Science, Data Analysis, Analytics Engineering, or related research. I am also have available roles for ML Engineer, MLOps Engineer, Applied Scientist

We are building a USA-based GIS Consulting & Implementation resource bench for upcoming client projects. This is future-project sourcing, not a guaranteed contract or immediate hire.

We are looking for independent GIS professionals who personally deliver the work. Relevant tracks include:
• GIS Solution Architect / Lead
• GIS Application Developer
• GIS Data Engineer / ETL Specialist
• GIS / Spatial Data Analyst
• GIS Platform / Cloud GIS Engineer
• GIS QA, Data Quality / Cartography Specialist

Typical work may include ArcGIS Enterprise/Online, ArcGIS Pro, ArcGIS APIs, Experience Builder, Python, SQL/PostGIS, FME, spatial ETL, dashboards, geospatial data migration, data quality, metadata, cartography, cloud GIS and platform administration.

Please respond with:
• Your preferred GIS role track
• USA city/state, timezone and US-hours coverage
• Your exact remote hourly rate and onsite/travel terms if applicable
• Two dated personal GIS implementation examples with your role, tools and scale
• Your current resume, if available
• Your current relevant GIS certification document and official issuer verification link/status. Certification evidence is required for confirmation. A resume is helpful for rapid client proposals but is not a verification gate.

We will confirm resources only after verifying USA location, exact rate, current certification documentation and official issuer verification. Client references are not required. Project scope and timing are confirmed per client need.

We are looking for a senior QA professional to thoroughly test a restaurant point-of-sale platform.

We need someone who understands how restaurants operate during a busy shift and can identify issues that affect servers, bartenders, cashiers, kitchen staff, managers, and guests.

This is more than checking whether buttons work. We need someone who can follow an order from start to finish, challenge the system with realistic scenarios, and identify problems before restaurant staff encounter them.

Scope of work

Depending on the features available, testing will include:

•⁠ ⁠Dine-in, takeout, and bar workflows.
•⁠ ⁠Table management, open tabs, transfers, and split or merged checks.
•⁠ ⁠Menu items, modifiers, substitutions, pricing, and special instructions.
•⁠ ⁠Order routing to kitchen displays and printers.
•⁠ ⁠Payments, partial payments, split tenders, tips, refunds, and voids.
•⁠ ⁠Discounts, taxes, service charges, and rounding accuracy.
•⁠ ⁠Employee permissions, manager approvals, and cash drawer controls.
•⁠ ⁠End-of-day closing and reconciliation between orders, payments, and reports.
•⁠ ⁠Interrupted connections, failed transactions, duplicate actions, and recovery.
•⁠ ⁠Multiple employees or devices working on the same order.
•⁠ ⁠Regression testing after fixes.

Responsibilities

•⁠ ⁠Create a practical test plan based on restaurant workflows.
•⁠ ⁠Perform hands-on functional, exploratory, and regression testing.
•⁠ ⁠Document bugs with clear reproduction steps, expected vs. actual results, screenshots or recordings, and severity.
•⁠ ⁠Identify usability problems that could slow service or cause staff mistakes.
•⁠ ⁠Work with developers to clarify issues and verify fixes.
•⁠ ⁠Provide a prioritized summary of findings and remaining risks.

Required experience

•⁠ ⁠Senior-level QA experience with restaurant POS systems.
•⁠ ⁠Strong understanding of full-service restaurant and bar operations.
•⁠ ⁠Experience testing payment and transaction workflows.
•⁠ ⁠Ability to investigate edge cases and financial discrepancies.
•⁠ ⁠Clear written communication and organized bug reporting.
•⁠ ⁠Ability to work independently and explain the business impact of each issue.

Experience with platforms such as Toast, Square for Restaurants, Clover, Lightspeed, Aloha, or MICROS is highly relevant. Please describe your actual testing responsibilities, not just your familiarity as a user.

API testing, SQL, log analysis, and test automation are valuable additional skills. However, hands-on restaurant workflow testing is essential.

Initial engagement

We would like to begin with a paid, limited-scope assessment of key workflows. Deliverables should include a concise test plan, documented findings, and recommendations for the next testing phase. Successful work may lead to an ongoing engagement.

Please include in your proposal:

1.⁠ ⁠Which restaurant POS systems have you personally tested, and what was your role?
2.⁠ ⁠Describe a critical POS bug you found, how you reproduced it, and its impact on restaurant operations.
3.⁠ ⁠How would you test a split check involving multiple payment methods, tips, and a partial refund?
4.⁠ ⁠Share a sample bug report or test plan, with confidential information removed.
5.⁠ ⁠Your hourly rate, availability, and estimated hours for an initial assessment.

Please begin your proposal with “Restaurant POS QA” and answer the questions above. We are especially interested in specific examples of your work.

I am looking for someone who can:

Design and develop the platform from the ground up, or help improve an existing prototype.
Recommend the right technologies and architecture.
Build a working minimum viable product (MVP).
Help identify technical challenges and practical solutions.
Test the platform and fix bugs.
Advise on hosting, deployment, security, and maintenance.
Communicate progress consistently.
Collaborate on future improvements and product development.
Think beyond writing code and contribute ideas that can make the product successful.
Experience building startups, SaaS platforms, mobile apps, web applications, or online marketplaces would be an advantage.

About the Company

We’re a B2B software company serving information security teams that manage governance, risk, and compliance programs. Our buyers typically evaluate software with several stakeholders before making a purchase decision.

The Opportunity

SEO, AEO, and content have helped us bring a substantial audience to our site. We have also built downloadable resources and email nurture to engage that audience. We need a clearer understanding of which interactions lead suitable buyers toward qualified sales conversations and new customers, where people stop progressing, and what to improve.

We’re looking for someone with sharp analytical judgment and a growth mindset. You should be able to find patterns in imperfect data, challenge assumptions, and turn promising opportunities into focused, measurable changes.

Initial Engagement

We’d like to start with a paid diagnostic. Use our source data to investigate buyer journeys, identify the funnels worth managing, and distinguish conversion problems from tracking gaps or poor buyer fit. Develop plausible explanations for where buyers stall, test what the available evidence supports, and recommend where to focus first.

In your proposal, tell us how you would scope and price the diagnostic, what you would deliver, and what access you would need.

Diagnostic Deliverables

The diagnostic should leave us with:

• A map of meaningful buyer journeys: Where people enter, what they do next, where Sales becomes involved, and where progression is unknown.

• Focused analysis of the most promising journeys: Who enters, who progresses or stalls, how buyer fit differs, and how reliable the measurements are. Include eligible people who never reach a meeting or opportunity.

• Prioritized opportunities: The strongest explanations for conversion gaps, the changes worth trying first, and the evidence supporting each recommendation.

• A plan for the first improvement: What to change, who needs to be involved, what to measure, and how to judge the result. Recommend A/B testing only when the available volume can support it.

• A practical path forward: What we can improve with existing assets and systems, what you could own next, and where Marketing, Sales, or our website partner must contribute. Include when additional channels, such as retargeting, may be warranted and how their contribution could be measured.

Provide the definitions, source dates, and reproducible analysis behind your conclusions so our team can continue the work.

Experience

You should have hands-on experience improving conversion in a B2B SaaS business with a sales-assisted buying process. We’re looking for someone comfortable working across website analytics, CRM data, content and offers, email nurture, and Sales handoffs. Experience with HubSpot, GA4, and SQL or BigQuery is particularly relevant.

Show us a change you helped implement, your role in the work, and what happened afterward. You should know when an A/B test is feasible and when small samples call for another way to learn. We value effective use of AI tools and careful validation of their output.

Working Together

Our marketing lead will provide business context and coordinate appropriate read-only access or approved exports for the diagnostic. You’ll work with our team to resolve questions about buyer fit, qualification, meeting outcomes, and the current journey. We can provide access to Claude or ChatGPT, depending on which you prefer for this work. We care most about how you use these tools and verify the results.

The diagnostic begins with analysis and recommendations. We’ll agree separately on any implementation work and who will carry it out.

Potential Ongoing Engagement

Our longer-term goal is to have a specialist help own the measurement and improvement of selected funnels. That could include improving pages, CTAs, offers, content, and nurture, coordinating Sales follow-up, evaluating lead scoring, and testing retargeting or other channels when the evidence supports them.

We want someone who will continue identifying new buyer journeys and conversion opportunities, help implement prioritized changes, and evaluate whether they work. Following the diagnostic, we’d define what you would do directly, what you would coordinate, the working cadence, and the measures of success.

How to Apply

Please include:

• A comparable B2B project you personally worked on: the problem, your analysis, a change you helped implement, your role, and what you could measure afterward.

• A sanitized example of your analytical work or handoff.

• Your proposed scope, deliverables, access needs, timing, and price for the initial diagnostic.

• Who would perform the work and your availability.

• An example of using AI in your work, how you validated the result, and which tools you prefer.

Architecture & Security Advisor (Fractional CISO)
Remote (US hours)

About the opportunity
VERU 365 is an early-stage startup building a 24/7 AI-powered financial co-pilot that banks and wealth firms offer to their clients under their own name. Banks will ask us hard questions about security, architecture and controls before they let us near their clients. We want an experienced security leader on our side who has answered those questions before: someone who reviews what we build, signs off on what we tell banks, and joins the call when a bank's CISO or vendor-risk team wants to know how it works.

What you'll do
- In your first weeks, learn our system quickly enough to join bank security calls, using whatever tools help you get there.
- Review our multi-tenant architecture on Google Cloud (Cloud Run, Cloud SQL Postgres with pgvector, Vertex AI, IAM, Cloud Armor), our identity provider and our data aggregation, and tell us plainly what a bank will push back on.
- Check how we keep each bank's data apart: per-tenant isolation in the database, in search over documents, and in every call we make to an AI model.
- Advise on authentication, authorization and IAM for a B2B product where each bank administers its own users.
- Lead our SOC 2 work through to the audit. Our policies and control matrix are drafted; you put the gaps in order, help choose the auditor, and keep us honest about what is not done.
- Join bank and partner calls when security comes up: due-diligence questionnaires, penetration test findings, architecture reviews.
- Review security-relevant changes before release, and our incident process if something goes wrong.
- Help us answer bank vendor-management questionnaires accurately, including saying "not yet" where that is the truth.

You're a fit if
- You have been a CISO, security architect or security lead at a bank, a fintech, or a vendor that sells to banks.
- You have taken a company through SOC 2 (Type I and Type II), and you know what bank vendor-risk teams and examiners ask for.
- You have designed or reviewed multi-tenant SaaS on Google Cloud, with strong data isolation between customers.
- You hold one or more Google Cloud certifications, such as Professional Cloud Security Engineer or Professional Cloud Architect.
- You can explain a risk to a bank CEO and a fix to an engineer in the same meeting.
- You can give a few hours a week reliably, and more in the weeks before an audit or a large bank meeting.

Nice to have
- Experience with the FFIEC guidance and the 2023 interagency guidance on third-party risk.
- Experience securing AI applications: prompt injection, data leakage between tenants, model vendor risk.
- CISSP, CISM or CCSP.
- An existing network among community bank and credit union security officers.

How to apply
In your note, tell us about the last SOC 2 audit you led and the Google Cloud work you have done.

ENGLISH VERSION BELOW:

Wir sind eine Data- und KI-Beratung aus Nürnberg und suchen einen freiberuflichen Data Engineer für Projekte im deutschen Mittelstand, mit Aussicht auf eine längerfristige Zusammenarbeit.

Aufgaben

Audits und Setups im Web-Tracking (Google Tag Manager, GA4, Piwik Pro), inkl. CMS-Integration und Reporting
Datenpipelines und Lakehouse in Microsoft Fabric, Anbindung von Business Central
Datenaufbereitung für KI-Anwendungen in Azure AI Foundry
Datenmanagement für Dokumente aus SharePoint/OneDrive (Struktur, Metadaten, Berechtigungen)
Sparring zur Datenarchitektur und gegenseitige Vertretung

Das bringst du mit

Projekterfahrung mit Microsoft Fabric und mit Tag-Management/Web-Analytics
Sicheres SQL und Python, Erfahrung mit Microsoft Graph von Vorteil
Deutsch fließend (bevorzugt) oder sehr gutes Englisch
Antwort innerhalb von 24 Stunden und verbindlich zugesagte Tage

Rahmen: remote, zunächst wenige Tage pro Monat, NDA erforderlich.

Bitte nenn in deiner Bewerbung ein Fabric- und ein Tracking-Projekt, die du selbst umgesetzt hast, und deinen Tagessatz.

ENGLISH:
We are a data and AI consultancy based in Nuremberg and are looking for a freelance data engineer for projects in the German SME sector, with the prospect of a long-term collaboration.

Responsibilities

Audits and setups in web tracking (Google Tag Manager, GA4, Piwik Pro), including CMS integration and reporting
Data pipelines and Lakehouse in Microsoft Fabric, connecting to Business Central
Data preparation for AI applications in Azure AI Foundry
Data management for documents from SharePoint/OneDrive (structure, metadata, permissions)
Sparring on data architecture and mutual support

What you bring to the table

Project experience with Microsoft Fabric and tag management/web analytics
Sophisticated knowledge of SQL and Python, experience with Microsoft Graph is a plus
Fluent German (preferred) or very good English
Response within 24 hours and a firm commitment to specific days

Context: remote, initially a few days per month, NDA required.


Your qualifications: Please include in your application one Fabric and one Tracking project that you have personally implemented, and your daily rate.

We are a growing, venture-backed U.S. Delaware C-Corporation seeking an experienced cap table and equity modeling specialist to independently review and update our capitalization model ahead of a priced preferred equity financing.

Our company has multiple outstanding SAFEs with different valuation caps, discounts, and investor rights. We need someone who has extensive hands-on experience with venture capital financing structures.

Scope of Work

Audit and reconcile our existing fully diluted cap table against executed investment documents.

Model conversion of multiple SAFEs with different valuation caps and discounts.

Model a proposed $4M preferred equity financing at a $40M pre-money valuation.

Calculate ownership and dilution for founders, existing investors, new investors, and option holders.

Incorporate option pool expansion and advisor equity grants.

Model investor pro-rata participation and future financing scenarios.

Deliver an accurate, fully linked Excel cap table with a clear before-and-after ownership summary.

Identify inconsistencies or questions requiring legal counsel's review.

Required Experience

Must have prior experience with U.S. venture-backed startups, post-money SAFEs, priced equity rounds, and complex capitalization tables. Carta or Pulley expertise strongly preferred.

Please include examples of similar projects, your estimated timeline, and a fixed-fee proposal.

We are looking for someone who can start immediately and coordinate with our legal counsel as needed. All materials will be shared under an NDA.

I’m looking for an experienced LinkedIn profile writer to optimize my profile for Data Scientist, Data Analyst and Fraud/Risk Analyst roles.

About me: I’m a data professional with a Master’s degree and about 4 years of experience as a Data Engineer, Statistics Graduate Assistant, Technical Product Management Intern (Optum) and Software Engineer (Thomson Reuters). Skills include Python, R, SQL, Spark, Snowflake, Databricks, AWS, machine learning, Power BI and Tableau.

What I need:

Keyword-optimized headline
Strong About section
Rewritten experience bullets focused on results
Skills section optimized for recruiter search
Suggestions for Featured section, banner and projects

Requirements:

Experience optimizing LinkedIn profiles for tech or data roles (please share examples)
Understanding of LinkedIn search and how recruiters find candidates
Clear communication, with one round of revisions included

Process: I’ll send my resume and answer any questions. Please deliver the draft in a Google Doc within 5–7 days and I’ll update the profile myself.

When applying, start your proposal with the word “DATA” and include examples of your past work.

We are a small, growing CPA and advisory firm serving U.S. businesses across industries. Our founders have 20+ years of experience each, and we are looking for an Accounting Manager who will take real ownership of our client accounting operations and take day-to-day work off the founders’ plates.

This is not a review-only role, and it is not a role where you wait to be told what to do next. We are a small team, so you will do the work yourself, from reconciliations to the month-end close, and you will also decide how the work should run, spot problems before clients do, and improve our processes as we grow.

This role is for you if you:

• Are equally comfortable closing the books yourself and leading a junior team
• See what needs to happen next without being asked
• Like building structure, checklists, and better processes, not just following them
• Can speak with clients and founders with confidence and give clear recommendations
• Want a role where your ideas change how the firm operates

What you will own

• Month-end close, reconciliations, journal entries, and financial statements across a portfolio of clients
• Review and mentorship of junior accountants, with clear feedback
• Quality and deadlines for every client deliverable
• Technical accounting questions, including U.S. GAAP and revenue recognition (ASC 606)
• Variance analysis, management reporting, and cash-flow support
• Improving and documenting our processes, including automation and AI tools where they make sense
• Serving as the main point of contact between our accounting team and clients

What we are looking for

• 5+ years of accounting and financial reporting experience
• Strong month-end close, GL, and financial statement experience
• U.S. GAAP knowledge; ASC 606 experience required
• Experience with accounting software (QuickBooks Online, Xero, or similar)
• Experience reviewing and mentoring junior staff
• Public accounting or CPA firm background preferred
• Advanced Excel; automation, Power BI, SQL, or AI tool experience is a plus

Engagement
Remote, Minimum 20-25 hours weekly, with 3 to 4 hours of overlap with U.S. Eastern Time, which can grow into more hours or a larger role based on performance.

To apply, start your proposal with the word “Ownership” and answer these:

1. Describe a process you found broken or inefficient and fixed without being asked. What changed as a result?
2. If you joined us tomorrow and had to take over a client’s close, what would you do in your first two weeks?
3. How many clients or entities have you managed at once, and what was your role in the work versus the review?
4. Which accounting systems do you use most, and have you automated any part of your workflow?

We are seeking an experienced AI & Data Architecture Consultant to help design and implement scalable data infrastructure for our AI-powered platform.

The ideal candidate has strong experience in data architecture, cloud infrastructure, and modern AI technologies, including LLMs, RAG, vector databases, and AI agents.

**Key Responsibilities:**
- Design database schemas, data models, and scalable architectures.
- Build AI data pipelines and RAG workflows.
- Integrate LLMs, vector databases, and APIs.
- Recommend AWS infrastructure and storage solutions.
- Optimize system performance, security, and costs.
- Provide technical consulting and architecture documentation.

**Requirements:**
- 5+ years in data engineering or architecture.
- Strong Python, SQL, PostgreSQL, and AWS experience.
- Familiarity with LangChain, LangGraph, and AI agents.
- Strong communication and problem-solving skills.

**Engagement:** We will start with 2–3 small paid consulting tasks to evaluate technical expertise and collaboration. Successful completion may lead to a long-term, part-time engagement.

**Rate:** $50–$70/hour | Remote | Flexible schedule

Project Title: Financial Dashboard Integration: QuickBooks Desktop, MS SQL (Acroprint), & FieldCentral API

Company Profile: Irrigation contractor with 50 employees (Fluid install crews and individual service technicians).

Project Overview: We need a data analyst/systems developer to build a secure, local automated dashboard (Power BI Desktop or advanced Excel PowerQuery) that attributes accurate Gross and Net Revenue to individual employees.

Data Infrastructure & Architecture:
1. Accounting System: QuickBooks Desktop. Materials are tracked directly as line items on customer invoices.
2. Time Tracking System: Acroprint TimeQplus running on a localized MS SQL Server Express instance (ACROPRINT).
3. Scheduling / Crew Assignment: FieldCentral by HindSite. Tracks which technicians and fluid crews are assigned to specific jobs on specific dates.

Core Deliverables Required:
• Data ETL Pipeline: Extract invoice details from QuickBooks Desktop (via QODBC/SDK), hourly time logs from Acroprint's SQL backend, and daily crew scheduling lists from FieldCentral.
• Attribution Formulas: Program the dashboard to subtract material line items from total invoice revenue, divide the remaining gross labor revenue across the specific field crew assigned on that date, and subtract individual fully loaded labor costs (wage + labor burden).
• Executive Dashboard: A scannable visual report updating daily/weekly showing Gross Revenue Generated, Labor Cost Burden, and Net Profit Yield per employee, sortable by role (Install vs. Service).
Candidate Requirements:
• Demonstrated experience querying QuickBooks Desktop databases via QODBC drivers or SDK.
• Strong MS SQL Server capabilities (to pull data from our localized Acroprint server).
• Prior experience with construction or trade business job-costing (understanding labor burden, drive time, and material splits).

Senior OpenShift Engineer (UAE Onsite)

Summary

Location: United Arab Emirates (UAE)
Work Mode: On-site
Employment Type: Full-time
Experience: 8+ Years
Mandatory: Current UAE residency and immediate availability
Education: Bachelor’s degree in IT, Computer Science, Engineering, or equivalent experience
Joining: Immediate

About the Opportunity

We are seeking a Senior OpenShift Engineer, currently based in the UAE and available to join immediately, for a strategic enterprise project. You will design, deploy and administer Red Hat OpenShift, Kubernetes and Linux infrastructure supporting mission-critical environments.

Key responsibilities

-Design, deploy, administer and optimise Red Hat OpenShift and OpenShift Virtualization environments.
-Manage RHEL servers, including installation, configuration, upgrades, patching, security hardening and performance optimisation.
-Administer Kubernetes clusters, containerised applications and CI/CD pipelines.
-Manage virtualisation platforms, including VMware and OpenShift Virtualization.
-Deploy and maintain LAMP environments, including SSL configuration and security.
-Configure and manage NFS, CIFS, SMB, storage systems and backup solutions.
-Troubleshoot complex infrastructure issues through logs, performance monitoring, and root cause analysis.
-Maintain technical documentation, operational procedures, and infrastructure standards.

Required qualifications:

-Minimum 8 years of experience in Linux and infrastructure engineering, including 3–5+ years of hands-on OpenShift and Kubernetes.
-Strong expertise in deploying, administering and troubleshooting Red Hat OpenShift and Kubernetes.
-Advanced RHEL administration, including patching, hardening and performance tuning.
-Experience with VMware, Docker, container orchestration and CI/CD pipelines.
-Knowledge of networking (TCP/IP, DNS, DHCP, NTP) and Active Directory integration.
-Proficient in scripting with Bash, Python, Perl or Ruby.
-Middleware administration experience with Java, Apache Tomcat and JBoss.
-Must currently reside in the UAE and be available to join immediately.

Nice to have:

-Experience with OpenStack and cloud platforms such as Azure or AWS.
-Oracle and Microsoft SQL Server administration.
-SAN/NAS storage solutions (Pure Storage, IBM SAN, Oracle ZFS).
-Commvault backup administration.
-Red Hat certifications such as RHCSA, RHCE, or EX280.

Hiring Senior Software Engineer — Full Stack / AI / .NET (Fluent English Required)

Job Description

We are looking for an experienced Senior Software Engineer to join our team for a long-term remote opportunity.

We are interested in candidates with strong technical backgrounds in at least ONE of the following three areas:

Option 1: Senior Full-Stack Engineer (React / Node.js / AWS)

Required Skills:

7+ years of professional software development experience

Strong experience with React, Next.js, and TypeScript

Backend development using Node.js, Express.js, or NestJS

REST APIs, GraphQL, and microservices

AWS cloud services

PostgreSQL, MongoDB, or DynamoDB

Docker, Kubernetes, and CI/CD

Experience integrating AI/LLM solutions is a plus

Option 2: Senior AI / Data Platform Engineer (Python / LLM / RAG)

Required Skills:

7+ years of professional software engineering experience

Strong Python development skills

Experience with Generative AI, LLMs, and RAG applications

OpenAI API, LangChain, or LlamaIndex

AI Agents, vector databases, and semantic search

Data engineering using Spark, Kafka, or Databricks

AWS or Azure cloud infrastructure

Experience with MLOps and production AI deployments

Option 3: Senior .NET / Azure Engineer (C# / ASP.NET Core)

Required Skills:

7+ years of professional software development experience

Strong expertise in C#, .NET Core, and ASP.NET Core

REST APIs and microservices architecture

Microsoft Azure cloud services

Azure Functions, Service Bus, and API Management

SQL Server and Entity Framework

Experience with Angular or React

Docker, Kubernetes, and CI/CD

Experience with Azure OpenAI is a plus

English Communication Requirements — VERY IMPORTANT

Fluent conversational English is mandatory.

We are looking for someone who can:

Communicate fluently and confidently in spoken English.

Participate comfortably in live video meetings.

Explain complex technical concepts clearly in English.

Discuss technical requirements directly with clients and team members.

Understand questions quickly and respond naturally.

Communicate professionally without relying on translation tools during conversations.

All shortlisted candidates will be required to complete a live English video interview.

Strong technical skills alone are not sufficient. Excellent verbal communication is essential for this position.

Ideal Candidate

Senior-level professional with 7–10+ years of relevant experience

Strong problem-solving and software architecture skills

Experience delivering production-level applications

Ability to work independently

Excellent English communication skills

Comfortable collaborating with remote teams

Professional, reliable, and proactive

Available for long-term collaboration

How to Apply

Please include the following information in your proposal:

Which position best matches your experience? (Full Stack / AI & Data / .NET)

How many years of professional experience do you have?

What are your strongest technologies?

Describe one or two complex projects you have completed.

Are you comfortable participating in technical discussions entirely in English?

Are you available for a live video interview in English?

What is your hourly rate and weekly availability?

Applications without answers to these questions may not be considered.

Important

We are seeking an experienced engineer with both strong technical expertise and excellent spoken English.

This is a long-term opportunity for the right candidate.

We look forward to reviewing your proposal!

We are seeking a senior data analyst to support our team with complex data analysis, reporting, and insights. The ideal candidate will have experience working with large datasets, translating business needs into actionable recommendations, and collaborating with cross-functional teams. You will be responsible for analyzing data, identifying trends, and delivering clear reports that help drive decision-making. This is a part-time opportunity for someone who can work independently and contribute to ongoing data projects with accuracy and efficiency.

𝗔𝗕𝗢𝗨𝗧 𝗨𝗦
7Sage helps people get into law school: LSAT prep, a full practice-test engine,
live group classes, and admissions tools used by tens of thousands of students.
We're a small remote team that ships fast and cares a lot about getting the
details right.

𝗧𝗛𝗘 𝗥𝗢𝗟𝗘
We're hiring a QA Engineer (mid–senior) to own quality across our web and mobile platforms. You'll test changes before they ship, catch the edge cases that matter (payments, subscriptions, data integrity), and help us build repeatable test coverage across both platforms.

💰 $20–25/hour · [contract type, payment method]
⏰ Starting at [20–30] hrs/week, with room to grow to full-time
🌍 Remote, async-first, [X] hours of overlap with [US Eastern] required

𝗪𝗛𝗔𝗧 𝗬𝗢𝗨'𝗟𝗟 𝗗𝗢
- Test pull requests and new releases end-to-end across web and mobile: functional, UI, regression, cross-browser, and cross-device testing.
- Set up realistic test data, write risk-based test cases (positive, negative,
regression, UAT), and file bug reports a developer can act on right away
- Check business-critical flows: checkout, subscriptions and billing (Stripe),
enrollments, A/B experiments, emails and notifications
- Check data in Postgres: confirm the UI matches what's actually stored
- Work directly with developers and PMs on GitHub: review PRs, ask hard
questions, push back when something isn't ready

𝗪𝗛𝗔𝗧 𝗪𝗘'𝗥𝗘 𝗟𝗢𝗢𝗞𝗜𝗡𝗚 𝗙𝗢𝗥
- 3+ years of experience testing web and mobile applications, ideally SaaS or subscription-based products.
- Strong instincts for edge cases, state, and "what happens if the user does X"
- Comfort with browser dev tools (network, console, storage, cookies)
- Solid SQL: you can write a join to check a bug yourself
- Comfort with Git and GitHub PR workflows
- Clear written English; most of our communication is async

𝗡𝗜𝗖𝗘 𝗧𝗢 𝗛𝗔𝗩𝗘
- Selenide or other browser automation
- Experience testing payments/Stripe, real-time UIs, or feature-flagged releases
- REST APIs / Postman, Figma
- Using AI tools to speed up your testing

𝗛𝗢𝗪 𝗪𝗘 𝗛𝗜𝗥𝗘
To ensure we’re a good fit on both sides, we follow a simple 3-step process:

- Small QA Task — test assignment
- Medium QA Task — paid test assignment
- Intro Call — quick conversation to get to know each other and the project
- Decision — we provide feedback and next steps quickly


If you’re a detail-oriented, curious, and communicative tester — we’d love to hear from you!

About the Project

IRB Assist is an NIH-funded startup developing an AI-powered platform to streamline Institutional Review Board (IRB) reviews through regulatory guidance, document analysis, and decision support.

Our goal is to help IRB professionals review research more efficiently and consistently while maintaining the high standards necessary to protect human research participants.

We recently received an NIH NCATS SBIR Phase I award and are assembling a small, experienced technical team to build and evaluate our initial prototype. This is an opportunity to help shape a new product from the ground up, with the potential for continued development and commercialization through future NIH funding.

Position Details

- Position: Data Architect
- Employment Type:Part-time
- Compensation: ~$50/hour
- Time Commitment: Approximately 500 hours, with a flexible schedule
- Project Duration:Through Fall 2027
- Location: Remote (U.S.-based)
- Start Date: November 2026

There may be opportunities for continued work, expanded responsibilities, and increased compensation if we successfully secure Phase II funding.

Role Overview

We are seeking an experienced Data Architect to design and help implement the underlying data infrastructure for the IRB Assist platform.

This role will focus on establishing a secure, scalable, and well-organized data foundation that supports document processing, AI-generated review feedback, regulatory knowledge integration, and user interactions.

The Data Architect will work closely with our Director of Software Engineering, Full-Stack Developer, and AI/NLP Engineer to ensure the platform's data systems are properly structured and integrated.

Because this is an early-stage project, we are looking for someone who can balance sound architectural decisions with practical, efficient implementation.

Key Responsibilities

- Design the platform's data architecture, including data models, database schemas, storage structures, and integration requirements.
- Define how research documents, extracted information, regulatory references, AI-generated feedback, and user interactions are stored, organized, and retrieved.
- Establish appropriate data access controls, security practices, and data integrity measures.
- Collaborate with the AI/NLP Engineer to support document extraction, retrieval-augmented generation (RAG), and structured AI outputs.
- Work with the Full-Stack Developer and Director of Software Engineering to integrate data systems with platform functionality.
- Support the selection and configuration of appropriate cloud-based databases and storage solutions.
- Document architectural decisions, data structures, and integration requirements to support future development.
- Design with scalability and maintainability in mind while keeping Phase I development lean and within scope.

Ideal Candidate

- 5+ years of experience in data architecture, data engineering, database design, or backend systems development.
- Strong experience designing relational and/or non-relational databases.
- Experience with cloud infrastructure such as AWS
- Understanding of secure data storage, access controls, APIs, and system integrations.
- Familiarity with document processing, unstructured data, or AI/ML data pipelines.
- Experience with retrieval-augmented generation (RAG) or AI-enabled applications is a plus.
- Healthcare, clinical research, or HIPAA-related experience is preferred but not required.
- Comfortable working independently, collaborating with a small remote team, and making practical technical recommendations.
- Able to develop scalable solutions without unnecessary complexity or overengineering.

What We're Looking For

We're looking for someone who can take ownership of the data architecture while working collaboratively with other experienced technical professionals.

Our team operates with flexible schedules, clearly defined deliverables, and an emphasis on independent work rather than excessive meetings or oversight.

The immediate priority is building a functional, reliable Phase I prototype, with the long-term goal of developing IRB Assist into a commercially viable platform for research institutions.

We’re looking for an experienced AI Engineer / Full-Stack Developer who can work across backend development, AI integrations, APIs, databases, and modern web applications.
This is a hands-on role for someone who can take ownership of features from requirement to production, troubleshoot existing systems, and build reliable AI-powered workflows instead of only creating demos.
Core Tech Stack
• Python
• C# / .NET Core
• Node.js / JavaScript / TypeScript
• React / Next.js
• REST APIs and third-party integrations
• PostgreSQL / SQL databases
• OpenAI / GPT / LLM APIs
• LangChain / RAG / embeddings / vector search
• AI agents and automation workflows
• Zapier / Make / n8n
• Stripe and payment integrations
• CRM and business-system integrations
• Twilio / Vapi / voice AI
• Docker / cloud deployment
What You’ll Work On
• Build and improve AI-powered SaaS applications
• Develop RAG-based assistants and internal AI tools
• Integrate OpenAI, Claude, or other LLM APIs into real products
• Build backend APIs and business logic
• Connect CRMs, payment systems, messaging tools, and external APIs
• Work on existing .NET, Python, Node.js, and React applications
• Build automation workflows using APIs, webhooks, and AI
• Debug production issues and improve system reliability
• Handle authentication, permissions, database logic, and integrations
• Work with AI coding tools such as Claude Code, Cursor, Codex, or GitHub Copilot while reviewing and understanding all generated code
You Should Have
• Strong backend engineering experience
• Good understanding of full-stack application development
• Real experience with AI/LLM integrations
• Experience building or improving production SaaS products
• Strong API and webhook experience
• Experience with structured outputs, error handling, retries, and production debugging
• Ability to work independently and explain technical decisions clearly
Nice to Have
• Voice AI experience
• Stripe integrations
• CRM integrations
• Vector databases / pgvector
• Multi-tenant SaaS experience
• AI agent workflows
• Supabase
• AWS / Azure / cloud deployment
When Applying, Please Share
1. Two AI or SaaS products you personally worked on.
2. Your strongest technologies from the stack above.
3. One example of an API or system integration you built.
4. One AI/RAG/agent feature you shipped to production.
5. Your hourly rate and weekly availability.
We’re looking for someone who can combine strong software engineering with practical AI implementation and help us build reliable production systems, not just prototypes.

I am a software engineer myself, but stuck at architecting the existing enterprise platform. I am looking for an experienced Senior Solution Architect to assess, troubleshoot, re-architect, and optimize our existing enterprise-grade platform to improve performance, scalability, reliability, and cloud cost efficiency.

The ideal candidate should have strong hands-on experience with github, enterprise software architecture, cloud infrastructure, backend optimization, and system integration.

Key Responsibilities

- Review existing architecture and identify performance bottlenecks.
- Re-architect and optimize backend services, APIs, databases, and infrastructure.
- Improve system scalability, reliability, security, and maintainability.
- Optimize cloud infrastructure and reduce operational costs.
- Implement architectural improvements with minimal disruption to production.
- Push result to github

Required Skills

- Proven experience in enterprise solution architecture and system modernization.
- Strong expertise in Python, Node.js, REST APIs, and distributed systems.
- Hands-on experience with AWS, Azure, or Google Cloud.
- Experience with database optimization, caching, microservices, and serverless architecture.
- Knowledge of CI/CD, DevOps, and infrastructure automation.
- Strong troubleshooting and performance optimization skills.

Expected Deliverables

- Existing architecture assessment and optimization roadmap.
- Improved architecture design and hands-on implementation.
- Performance benchmarks demonstrating improvements.
- Updated technical documentation.

To Apply: Please share relevant enterprise re-architecture projects, technical approaches, and measurable performance improvements you have achieved.

I prefer a hands-on Solution Architect who can both design and implement practical, scalable, and cost-effective solutions.

Full Stack Developer Wanted – Remote with Flexible Hours

We are looking for an experienced Full Stack Developer for a stable, long-term collaboration focused on strengthening, optimizing, and supporting a comprehensive practice and clinic management platform.

The application is fully developed in terms of functionality and is already being piloted by selected medical clinics, with a commercial launch planned within the next few months. It was built using AI, without the involvement of a software developer.

The role involves reviewing and improving the existing application. It does not require building a new platform or developing new features. We are seeking a partner who will implement the necessary technical improvements to enhance its security, speed, and reliability before launch and continue supporting it afterward.

Key Responsibilities

Review the existing codebase, architecture, and database.

Identify and address security vulnerabilities.

Review authentication, access permissions, and Row Level Security (RLS) policies.

Perform testing, identify bugs, and implement fixes.

Improve speed, response times, and overall performance.

Provide ongoing technical maintenance, monitoring, and support after the commercial launch.

Required Qualifications

Experience with TypeScript, React, and Next.js.

Strong knowledge of PostgreSQL and Supabase, including SQL functions, triggers, and RLS.

Experience in web application security, testing, and performance optimization.

Familiarity with Vercel, Git, and deployment processes.

Experience with similar applications would be an advantage.

Working Arrangements

This is a fully remote, part-time role with flexible working hours and no fixed daily schedule. The developer can organize their own time, with an emphasis on achieving agreed objectives, meeting deadlines, and delivering meaningful improvements to the application’s security, speed, and reliability.

Regular communication and timely responses to technical issues are essential to ensure the platform runs smoothly.

Compensation and specific terms will be agreed upon through discussion.

Language Requirement: The platform is in Greek, so applicants must be Greek or proficient in the Greek language.

Hi All,
We are looking for senior Data engineer in following tech stacks:

Data Engineer expert in Databricks (certified),
Spark,
ETL/ELT,
SQL,
APIs and enterprise integrations, with Salesforce experience preferred.
Banking experience must.

This is a daily job for 2 hours daily Monday to Friday in US time zone

Budget - 22k INR monthly

We are looking for a detail-oriented and tech-savvy Data Analyst to join our team. In this role, you will help us transform raw data into actionable insights by building dashboards, managing spreadsheets, and leveraging the latest AI tools to optimize your workflow.

Candidates should have advanced knowledge of spreadsheet functions including LAMBDA, Named Function, Query, Let, Regex and be able to handle complex and vast datasets. Familiarity with Google App Script a plus. Candidates will need to become familiar with our data structure and learn how to find the right type of answers.

Additionally, candidates will assist teams with various admin duties both routine and ad hoc. Should be able to work in a structured environment, be adaptable to change, attend daily huddles and weekly meetings. This is a fully remote position.

If you are a spreadsheet wizard, a Power BI expert, and someone who loves using AI to build tools and work smarter, we want to hear from you!

Key Responsibilities

- Daily updating of scorecards, dashboards: Pull reports and update scorecards. Sharing updated reports with stakeholders.
- Data Processing & Management: Clean, organize, and maintain datasets across Google Sheets. Writing and maintaining advanced Google Sheets formulas derived from business rules to align with organizational standards.
- Dashboard Creation: Design, build, and maintain interactive reports and dashboards using Power BI.
- AI Integration: Utilize AI technologies, specifically Claude, ChatGPT/CodeX and other platforms, to accelerate data analysis, generate insights, format data, troubleshoot complex formulas, and create automated workflows.
- Reporting: Translate complex data sets into clear, easy-to-understand visual reports for stakeholders.

Required Skills & Qualifications

- Spreadsheet Mastery: Advanced proficiency in Microsoft Excel and Google Sheets (complex formulas, pivot tables, data modeling, etc.).
- Data Visualization: Strong, proven experience building interactive dashboards, Data Modeling, and Writing DAX in Power BI.
- AI Curiosity & Familiarity: A strong interest or foundational experience using AI language models (such as Claude or ChatGPT) to assist with data manipulation, analysis, or scripting.
- Analytical Thinking: Strong problem-solving skills and the ability to draw meaningful conclusions from raw data.

Bonus Points (Preferred but NOT Required)

- Familiar with the Google Workspace ecosystem.
- Practical expertise with end-to-end data pipelines and data warehousing architecture.
- Working knowledge of databases and querying languages (e.g., Supabase, SQL, etc.).
- Familiarity with other data manipulation or visualization tools (e.g., Python).
- Experience with automating tasks using Google Apps Script or VBA.

Looking for a Laravel expert to support our Laravel backend team.
Be aware, this is a long term project.

Requirements:
- Outstanding knowledge of Laravel and PHP
- Fluent speaking and writing in English
- Minimum availability of 20h per week
- Region in Europe or close to it

I’m looking for an experienced CRM/PHP developer to review and fix issues in my existing CRM system.

The system is already developed, but some features are not working correctly and need proper debugging, cleanup, and functional fixes.

I need someone who can quickly understand the existing code, identify the root cause of the issues, and provide a clean and reliable solution.

Please apply only if you have strong experience with CRM systems, PHP/MySQL, debugging, and existing codebases.

We are looking for an experienced Microsoft .NET Developer with strong expertise in legacy ASP.NET and C# applications built on .NET Framework 4.5 for a short-term assignment.

Scope of Work
Dashboard Fixes: Identify and resolve data-related issues in our JavaScript-based dashboard.
Product Parameter Screen: Implement required changes, fixes, and enhancements to the existing Product Parameter screen.
Project Requirements
Strong hands-on experience with ASP.NET Web Forms, C#, and .NET Framework 4.5.
Proficiency in JavaScript and debugging existing web applications.
Experience working with legacy ERP systems and existing application workflows.
Ability to troubleshoot issues and implement changes efficiently.
Working Arrangement

Our ERP system is live and operational. Due to security and confidentiality requirements, we cannot share the source code or provide direct access to the SQL Server database. The developer will therefore be required to work remotely by accessing and working on our system through an authorized arrangement.

Estimated Duration

This is a short-term assignment expected to take approximately 2–4 working days for an experienced developer, depending on the complexity of the required changes.

Ideal Candidate

We are seeking a reliable, technically strong professional who can quickly understand an existing legacy application, resolve the identified issues, and deliver the required enhancements with minimal disruption to the live ERP system.

Please share your relevant experience with ASP.NET Web Forms, C#, and .NET Framework 4.5, along with your availability and estimated cost for this assignment.

We are a consultancy putting together a team for a digital platform project in the financial sector. We are looking for an experienced Database Specialist to design and run the data layer of a transactional system.

What you will do

You will design data models for customer accounts, onboarding records, transactions and market data.
You will set up high availability, backup, point-in-time recovery and restore testing.
You will tune performance for peak transaction loads.
You will implement audit trails, retention policies, access controls and encryption.
You will plan and run data migration.
You will train the client’s IT staff in database administration.

The project runs 6 to 12 months, followed by a support period. Most work is remote, with short on-site periods abroad.

Requirements

You hold a bachelor’s degree in Computer Science, Information Technology, Computer Engineering or a related field.
You hold at least one current professional DBMS certification, such as Oracle Certified Professional, Microsoft Certified: Azure Database Administrator Associate, or an EDB PostgreSQL certification.
You have at least three years of experience designing or administering databases for financial-sector or high-volume transactional systems, such as trading, depository, core banking, payments or auction systems.

Nice to have

Experience with securities issuance, book-building or auction systems.
Experience running databases both on-premises and in the cloud.
Work experience in Africa or other emerging markets.
Experience with donor-funded projects.

How to apply

Send your CV with dates, clients and your role per project, copies of your degree and certifications, and your daily rate in USD. Selected candidates will be asked to sign their CV and confirm availability in writing.

Please start your reply with your database certification and one sentence on your most comparable system.

Skills: Database Administration, Database Design, Oracle, PostgreSQL, SQL Server, High Availability, Data Migration, Financial Services

5-8+ years of experience in Marketing Automation, Customer Journey Orchestration, and Campaign Management.
Design, configure, and implement Adobe Journey Optimizer (AJO) solutions for personalized customer engagement.
Create and manage Real Time and batch customer journeys, campaigns, offers, and decisioning strategies.
Configure customer profiles, audiences, events, and journey triggers using Adobe Experience Platform (AEP).
Develop omni-channel campaigns across Email, SMS, Push Notifications, In-App Messaging, and Web Channels.
Collaborate with business and marketing stakeholders to translate requirements into customer engagement journeys.
Monitor campaign performance, troubleshoot journey issues, and optimize customer experiences.
Ensure adherence to data governance, privacy, and compliance standards.


Required Technical Skills
Adobe Journey Optimizer (AJO)
Adobe Experience Platform (AEP)
Adobe Real Time CDP (RTCDP)
Customer Journey Orchestration
Audience Segmentation & Activation
Event Configuration and Decisioning
Email, SMS, Push, and Cross-Channel Campaigns
XDM Schema, Real Time Customer Profile
SQL, JSON, REST APIs
Adobe Analytics and Adobe Target (Preferred)


Key Performance Indicators (KPIs)
Successful delivery of AJO implementations and journey use cases
Campaign and journey deployment turnaround time
Customer engagement metrics (Open Rate, CTR, Conversion Rate)
Journey execution success rate
Audience activation accuracy and timeliness
Reduction in campaign deployment effort
Stakeholder satisfaction and business adoption
Compliance with governance and privacy requirements

Senior Data Engineer — connector build on an existing AWS ingestion framework

Engagement: Fixed price, milestone-based · Remote · EU-based or EU-working-hours strongly preferred
Duration: 4–6 weeks for the first package

Background

We are a B2B analytics company in the sports and sponsorship sector. We have just completed a data-foundation build on AWS and are now extending it with additional source connectors.

The foundation already exists and is not in scope to rebuild. It comprises: a reusable ingestion framework, a landing and standardisation layer, a canonical entity model, a dbt/PySpark transformation framework, scheduled orchestration with retries and backfill, an automated data-quality and lineage layer, CI/CD, and Redshift as the analytical warehouse of record. Raw data lands on S3 in Parquet with full history retained. Everything runs inside our own AWS environment.

The framework was built to a specific standard: onboarding an additional source should be a matter of configuration against the existing pattern, not writing a new pipeline. Your work will test that claim. If you find the framework falls short of it, saying so early is part of the job and will not count against you.

The gap to close

We need additional sources connected and their fields modelled into the curated layer. Two work packages, each independently scoped. This posting covers Package A only; Package B is described so you can see the trajectory.

Package A — licensed and public third-party sources (this engagement)

Source class Access Notes
Licensed company firmographics & funding provider REST API Export caps apply on the current tier; incremental extraction required
Licensed search & web-traffic analytics provider REST API Already connected — extension only, monthly history per entity
Licensed social-listening / audience & sentiment platform REST API Already connected — extension to a second entity type, 12-month aggregates
Licensed consumer-research / audience panel platform API or platform export New connector, highest field yield of the package
Employer-review source No usable public API Bot/collector fallback, low volume, static attributes
Public no-credential web sources (3–4) Open HTTP / public endpoints Low complexity, includes a sports-statistics source and a search-interest source

Volume and shape: approximately [A] company-level entities per run at [C] runs per month, and [B] property-level entities refreshed on a slower cadence. Roughly 60 fields at company level and 70 at property level, of which a significant share are already satisfied by existing connectors or by replication of our own platform tables — your scope is the remainder. Static attributes must not be re-pulled per run; time-series values refresh on schedule with [D] of history on first load.

Entity resolution: every external source must link to our internal entity ID. Exact matches resolve automatically; ambiguous matches queue for human confirmation, and every confirmation is recorded. No linking by file name or by free-text company name alone.

Package B — contact-level enrichment (not in this posting). Person-level data from a B2B contact database with an enrichment orchestration layer. Handled separately under a data-processing agreement; mentioned only so you understand it is deliberately excluded here.

Required stack

Non-negotiable, because it must match what exists: AWS (S3, Redshift, Secrets Manager, IAM, Lambda), Parquet, dbt for SQL transformations, tests and lineage, PySpark for heavy transforms, Python, Git with PR-based review and CI. Credentials in Secrets Manager — never in code, config or environment files committed to the repo. API-first extraction; bots only where no usable API exists.

Deliverables and acceptance criteria

Each is independently testable. We will verify all of them before final payment.

Connectors. Every in-scope source lands in the S3 raw layer on schedule through the existing ingestion framework, implemented as configuration of that framework rather than a standalone pipeline. Authentication, rate-limit handling, incremental extraction and retry behaviour all demonstrated.
History retention. Nothing is overwritten. Every record carries its source and extraction timestamp. A re-run on identical inputs produces identical outputs.
Entity resolution. One table links our internal ID to every external key, with automatic exact matching, a queue for ambiguous cases, and an audit record of every confirmation.
Curated fields. All in-scope fields queryable in Redshift at the specified grain, each traceable to its source.
Quality gate. Automated tests on keys, completeness and value ranges run on every load and block bad data from reaching the curated layer. Failures alert to a channel we nominate.
Documentation and transfer. A field-level catalogue mapping each field to source, key, refresh and owner; a runbook per connector; and a recorded walkthrough. Final acceptance requires one of our own engineers to onboard a new source unassisted using your framework configuration and playbook, and to run the pipeline for one full cycle without you. This is a gate, not a formality.
Constraints
All work runs inside our AWS environment, on our repositories, under our CI standards. No data leaves it beyond the lookups each source itself requires.
We own every artifact produced — code, schemas, pipeline definitions, configuration, documentation — with no reverse-engineering restrictions on our own property. Declare in writing any pre-existing tooling of yours used during delivery, and confirm nothing of yours is required to operate the result afterwards. No component of yours may sit in the critical path.
EU/GDPR. All processing stays in EU regions. You will sign a DPA and be listed as a sub-processor.
Out of scope and not disclosed: our scoring and valuation logic, our weighting models, our product APIs and application screens, and the commercial terms attached to any entity. You do not need them and you will not receive them.
Source subscriptions and API credits are contracted and paid by us.
How to quote — read this carefully

Quotes structured as “N weeks × a team of M” will not be compared. Give us:

Total effort in person-days, split by role and seniority
Price per connector, by complexity band
Price per modelled field beyond the connector
Your day rate per role
The milestone schedule you propose and what triggers each payment

Fixed price against milestones. We do not engage on open-ended time and materials.

IF YOU SEND US A MESSAGE ON WHATSAPP OR TRY TO CALL US WE WILL IGNORE YOUR PROPOSAL

About us

Suri Marketing is a UK digital marketing agency working with 60+ clients across home improvement and interiors, legal, healthcare and aesthetics, education, food and beverage, and ecommerce. We run paid media, content production, CRM automation and reporting.

Websites and landing pages are central to how our campaigns convert, and we are looking for a developer to own that side of delivery.

The role

You will build and maintain client websites and landing pages that our paid media campaigns drive traffic to. Most work is brochure and lead-generation sites, ecommerce stores, and funnel pages, delivered to deadline against live campaign launches.

This is a freelance engagement. You set your own hours, but you need to be reachable during UK business hours and reliable on agreed deadlines.

What you'll do
Build and launch client websites from designs or briefs, usually on WordPress, Shopify or GoHighLevel.

Build landing pages and funnel pages for lead-generation and ecommerce campaigns

Handle hosting, domains, DNS, SSL and migrations for client sites.

Maintain and update existing client sites, including plugin and theme updates, backups and security
Implement tracking correctly: GA4, Meta Pixel and Conversions API, TikTok Pixel, Google Tag Manager, and form or CRM integrations into GoHighLevel.

Fix bugs and page speed issues, and make sure sites are responsive and pass Core Web Vitals.

Work with our design, content and paid media teams so builds match brand guidelines and campaign requirements
Provide clear timelines and flag blockers early.

What we're looking for
Proven experience building client websites, ideally in an agency or freelance setting (portfolio required).

Strong WordPress skills, including custom themes, page builders and troubleshooting.

Comfortable with HTML, CSS, JavaScript and PHP.

Shopify experience, including theme customisation and Liquid.

Working knowledge of tracking and pixel implementation.

Good grasp of on-page technical SEO and site performance.

Able to manage several client projects at once and communicate clearly in writing.

Right to work as a self-employed contractor in the UK, with your own equipment and public liability or professional indemnity cover if required.

Nice to have
GoHighLevel funnel and website builder experience
React or other modern JavaScript frameworks
Experience with server management, cPanel or similar hosting environments
Basic design skills in Figma or Canva
Familiarity with Asana, Notion and Slack
How to apply

Send the following to [insert email address]:

A short introduction covering your relevant experience
Links to 3 to 5 sites you have built, with a note on what you did on each
Your current availability and usual turnaround times

We review applications on a rolling basis and will arrange a short call.

About the Role

We’re looking for a Senior Software Engineer with deep expertise in AI platforms, data engineering, and machine learning infrastructure. You’ll design and build enterprise-scale systems that power intelligent applications, from LLM-driven products to high-throughput, cloud-native data platforms. This role suits an engineer who enjoys owning architecture end to end and turning ambitious AI ideas into reliable production systems.

Key Responsibilities
Design and build enterprise AI platforms that support LLM integration, retrieval-augmented generation (RAG), and generative AI applications
Architect scalable data platforms that ingest, process, and serve high-volume data (millions of records per month)
Build production ML infrastructure, including training pipelines, deployment automation, model monitoring, and governance
Develop secure, well-documented REST APIs and microservices in Python, Java, or TypeScript
Implement CI/CD workflows, containerization, and infrastructure-as-code
Tune distributed data pipelines for performance, reliability, and cost
Partner with data scientists, product managers, and engineers to deliver production-ready solutions

Required Skills & Experience

Core Technologies

Languages: Python, Java, or TypeScript/JavaScript
AI/ML: Generative AI, LLMs, RAG, prompt engineering, model deployment
Data Engineering: Spark, Kafka, ETL/ELT pipelines, advanced SQL
Cloud: AWS and/or Azure
DevOps & Infrastructure: Docker, Kubernetes, Terraform, CI/CD
Databases & Warehouses: PostgreSQL, MongoDB, Snowflake, Databricks, or similar

Experience & Communication

8+ years of professional software engineering experience
A proven track record of shipping AI/ML systems to production
Strong grasp of system design, scalability, and reliability
Experience building cloud-native applications
Comfortable working independently in a remote setting
Nice to Have
Hands-on experience with LLM platforms and frameworks (OpenAI, Azure OpenAI, Llama, LangChain, LlamaIndex)
Vector databases and semantic search
MLOps and ML platform development
Background in healthcare, fintech, or enterprise software
Kubernetes orchestration at scale
Microservices and distributed systems architecture
Master or PhD is a major plus
What We’re Looking For
Clear communicator and strong collaborator
Problem solver with a keen eye for detail
Proactive about asking questions and sharing progress
Enjoys mentoring junior engineers
Thrives in agile, fast-moving teams
Deliverables
Well-architected, production-ready code
Automated tests and CI/CD pipelines
Clear technical documentation and knowledge sharing
Regular progress updates and active collaboration