Optimize Freelance Projects with Amazon S3

We are seeking an experienced AWS engineer to assist in setting up hyper scaler and Data Bricks services. Your primary responsibilities will include configuring these services and enabling our two applications: a web app and a web information site. The ideal candidate should have a robust understanding of AWS infrastructure and experience in application deployment. If you're passionate about cloud technologies and can deliver results efficiently, we want to hear from you!

Lead the design, implementation, and optimization of secure, scalable, and high-performance cloud solutions for our government and private-sector clients. The ideal candidate will have deep expertise across AWS services, cloud architecture patterns, security best practices, and modern DevSecOps delivery models. This role is responsible for translating complex business and technical requirements into well-architected cloud solutions that support digital modernization, application development, data platforms, and enterprise integrations.

The AWS Solution Architect will provide leadership across cloud strategy, environment provisioning, system migration, performance optimization, disaster recovery planning, and cost governance. Responsibilities include designing end-to-end cloud architectures, implementing secure VPC/network configurations, managing IAM and least-privilege access models, enabling CI/CD pipelines, and ensuring compliance with FedRAMP, NIST, and SOC 2 requirements. The candidate will collaborate closely with software engineers, data engineers, cybersecurity teams, product owners, and client stakeholders to deliver solutions that are secure, resilient, and aligned with best practices in cloud engineering.

This position requires hands-on experience with EC2, S3, RDS/Aurora, Lambda, API Gateway, CloudFormation/Terraform, CloudWatch, CloudTrail, IAM, KMS, networking services, container orchestration (ECS/EKS), and event-driven architectures. The AWS Solution Architect will play a key role in guiding cloud modernization efforts, supporting migration of legacy systems, optimizing operational efficiency, and ensuring the long-term stability and scalability of mission-critical applications hosted in AWS.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• Describe common challenges of maintaining SLAs
• How do you create a dependency map for systems operating in multi-tier architecture?
• How do you operationalize your projects?

I am looking for the support of a professional with strong expertise in AWS and AWS cost optimization to identify potential areas of waste in my AWS account.

I have been using AWS for 12 years; the infrastructure works well and the application running on it is stable. This is a mission-critical application, so I have always followed the philosophy of having five backups more rather than five fewer, for safety reasons. Since the business is doing well, I do not need to aggressively optimize or “cut corners”: I can afford to have one extra layer of protection rather than one less.

However, having said that, I believe I have some cost inefficiencies, because if in one month I spend X and then proceed to purchase Reserved Instances, the following month—instead of spending X minus a percentage—I end up spending X plus a percentage. This is a clear sign that I am doing something fundamentally wrong at a conceptual level.

Web app front end developed using Gemini/Google AI Studio for processing invoices. The functions of the app are to upload an invoice, save it to a database/file storage, and when initiated, email the invoice to specified recipient. The front end is mostly all developed and is in TypeScript. The app will need to be deployed to 10-15 people. Key things that need to be implemented:
-credentials for users (ideally can leverage existing Microsoft credentials or 2FA)
-incorporate backend (plug in a database or other data layer for storing information)
-implement email sending (via Sendgrid or similar)
-save down invoices (ideally to existing Sharepoint site)

Need help with angular (v12) and rx js work.
Fixing bugs and doing minor enchnacements

We’re looking for someone to create a simple, clean OpenAPI 3.0+ specification and a short data flow explanation for a fictional robot data-upload system. Robots finish missions, generate several data files, and upload them to the cloud. Your job is to design what the API would look like.

This is not production work — it’s a standalone design exercise meant to show what a “good” API and documentation output should look like.

This task is part of a broader project to generate high-quality examples for AI training and evaluation. Your work will serve as a polished reference example.

Deliverables Include:
- OpenAPI 3.0+ Spec (YAML)

We expect a small, clean specification that includes endpoints for things like:

- Starting a mission upload
- Uploading mission files (with variability between robots)
- Resuming an interrupted upload
- Marking the upload as complete
- Checking status

You may assume the backend uses S3 for storage and DynamoDB for metadata — but keep the spec simple and readable.

2. A short data_flow.txt (5–10 sentences)

Describe at a high level:
- What happens when a robot finishes a mission
- How it uploads files
- How an interrupted upload would resume
- How the system processes the data afterward

Plain English, no need for deep technical detail.

We're hoping for clear, straightforward API design; good structure and naming conventions; easy-to-follow documentation, little unnecessary complexity

The ideal freelancer is comfortable writing OpenAPI / Swagger, a good communicator, and has experience with cloud patterns.

The fixed fee payment will be provided upon successful completion of this task. Would love to hear from you!

I need an experienced AWS engineer to deploy and host our e-commerce platform with a scalable and secure setup, including load balancing, auto scaling, database configuration, and performance tuning. We do not share our code, so all work must be done through remote desktop access, and the freelancer must share their screen at all times while working. Full end-to-end support is required until the system is fully stable and production-ready.

We are seeking an experienced AWS specialist to assist us in increasing the volume storage of our EC2 instances. The ideal candidate will have a strong background in AWS services and be able to implement storage solutions efficiently. Responsibilities include assessing current storage needs, determining the appropriate volume size, and executing the expansion process while ensuring minimal disruption. If you are skilled in AWS management and have a proven track record of optimizing EC2 resources, we would love to hear from you.

We are seeking a skilled developer to join our team for a project built with Next.js, Node.js, and AWS.
The ideal candidate should have experience with the following stack:
• Frontend: Next.js (TypeScript), TailwindCSS, React Native
• Backend: Node.js (TypeScript), Express, PostgreSQL
• Infrastructure: Docker, AWS EC2/RDS, Bitbucket Pipelines (CI/CD)
Designs are fully prepared in Figma, and collaboration with other developers on an existing codebase is essential.

We are building a mobile application, so mobile development experience is a must.

Please respond with your resume and specific mobile application experience.

Project Overview: We are a music technology company building a secure B2B data pipeline to license high-fidelity audio datasets (Stems + MIDI) to AI companies.

We are currently scaling our ingestion from 1,000 tracks to 30,000+ tracks over the next 12 months.

We need an AWS expert to set up the initial S3 architecture that automates the flow of data from our manual labelers (Ingest) to our secure client-facing buckets (Production).

This initial build is a paid pilot. We are looking for a Lead DevOps Engineer to manage this infrastructure long-term as we scale.

If you deliver a robust, secure pipeline, we are looking to retain you for ongoing maintenance, security audits, and feature expansion (API integration, etc.).

We need a 3-Bucket System with automated validation logic:

Staging-Zone (Write-Only): Where our manual labelers upload batches of processed zip files.

Production-Clean (Read-Only): The final, locked vault organized by product type.

Quarantine: Where invalid files are moved automatically.

The Deliverables:
1. Secure IAM Setup:
Create a restricted Labeler_Role that allows contractors to upload to Staging via CLI/Cyberduck but blocks ListBucket or GetObject (Zero Trust).
Create an Admin_Role for our internal team.

2. The "Sorting Hat" Automation (AWS Lambda):
Build a Python Lambda function triggered by an upload to Staging.

Logic:
-Unzip the file in memory (handle large files efficiently).
-Check for the existence of metadata.json.
-Parse the JSON tags (e.g., vocal_rights, is_loop).
-Action: Move the folder to the correct "Product" directory in the Production Bucket based on the tags (e.g., /Dataset_Instrumentals vs /Dataset_Vocals).
-Fail State: If JSON is missing or invalid, move to Quarantine and send an SNS alert.

3. The "Subscription" Delivery Mechanism:
-Configure a Cross-Account Access Policy template. We need a documented method to grant a client (e.g., Google) Read-Only access to a specific sub-folder (e.g., /Dataset_Instrumentals) for a specific time period.

Required Skills:
AWS S3, IAM, Lambda (Python/Boto3).
Experience with Infrastructure as Code (Terraform or CloudFormation preferred).
Experience handling large media files in serverless environments.

Timeline: We need this infrastructure live ~7 days out to support our data processing team.

COMPULSORY SCREENING QUESTION: Please answer this at the top of your proposal: "Hypothetical: If this pipeline scales from 100GB to 10TB of data per month, what is the first component of this architecture (Lambda/S3) that would break or become too expensive, and what would you replace it with?"

I have a woocommerce store that uploads files to AWS s3 bucket. I am trying to download these files through my-admin orders but am getting an error. I believe since my s3 bucket is private, I need a presigned URL to retrieve the files

We are seeking a knowledgeable AWS professional to provide ongoing support and consultancy for our cloud infrastructure. The ideal candidate will have a strong understanding of AWS services and best practices for deployment and management. This role involves troubleshooting issues, optimizing performance, and ensuring security compliance in our AWS environment. If you are passionate about cloud technology and have hands-on experience, we would love to hear from you!

Summary
Develop auto scaling python AWS-Hosted RAG Chatbot
Summary
PROJECT TITLE: Build AWS Hosted RAG Chatbot Using LangChain, RDS PostgreSQL with pgvector, EC2 Autoscaling, and Streamlit UI hosted on AWS and AWS getway api for requests as users access interface

Overview
I need an experienced developer who understands Python, LangChain, and AWS to build a complete RAG chatbot system. The system must support:
1 multiple users at the same time
2 autoscale quickly
3 store vector embeddings in Amazon RDS PostgreSQL with pgvector
3 run a clean Streamlit user interface.
4 Use OpenAI as LLM, find openai model which can support such load (so many request per minute ) by using usual subscription (not special very expensive ) .
5 Data for RAG : 5 pdf files for each user (general format pdf file for example with pictures and tables , but only textual data should be used including content from tables ), each file has 3 pages (you provide these files).
6 users conversation history saved on RDS to use in for answers recent history and most suitable historical chunks from previous conversation
7 Fargate or EC2 based RAG app , I am open to consider another archetcture as well

This project includes backend development, database setup, Streamlit UI, AWS infrastructure, and load testing.

SYSTEM ARCHITECTURE REQUIREMENTS

Vector Database (Managed)

Use Amazon RDS PostgreSQL

Enable pgvector extension

Store embeddings, metadata, document chunks, users, and admin data

Must be fully managed by AWS

stateful Python Backend (backend can be used not only by aws based streamlit, but also from local windows computer python code )

Use LangChain for embeddings, text splitting, retrieval, and RAG logic

Backend must be completely stateless
No local file storage
All files go to RDS or S3
Safe for autoscaling EC2 instances

AWS Deployment

Use EC2 Auto Scaling Group
Minimum size 1
Maximum size 120 or more

Must be able to scale up within about 5 seconds from 1 to 120 users

Use Application Load Balancer

Use S3 for file uploads

Set up all IAM roles, security groups, VPC networking, and private subnets

Streamlit Web UI
The user interface must include the following:

Admin Panel

Admin login with username and password

Admin dashboard

View users

Reset user passwords

Upload files to the knowledge base

View basic system information

User Panel

User login

Upload personal documents

Ask questions to the chatbot

See chat history

Access control by user role

UI should be clean, simple, and responsive.

RAG CHATBOT FUNCTIONS

Core functions

Upload PDF, DOCX, or TXT files

Automatically split, embed, and store in PostgreSQL

Perform similarity search using pgvector

Retrieve top results for each query

Combine retrieved context with the LLM for answers

Support many users at the same time

Authentication

Admin login

User login

Password hashing

Store all accounts in RDS

Scalability Requirements

Must handle a quick spike in traffic

Example: from one user to twenty users within one minute

Stateless application nodes

Load balanced

Health checks and automatic recovery

LOAD TESTING AND SIMULATION

The project must include tools or scripts that simulate many users using RAG running on AWS from local windows
Can use Playwright, but better plain python load test code running on local windows

The simulation must:

Test 120 or more users logging in and use app in parallel . load changing from 0 to high during given time range for example 10 seconds

Upload test files

Send many chatbot messages

Trigger autoscaling

Measure response times and performance

A short report must be included with the results.

DELIVERABLES

Fully working RAG chatbot system

Hosted on AWS

Using RDS PostgreSQL with pgvector

Stateless Python backend

Streamlit frontend

EC2 Auto Scaling Group infrastructure

Complete codebase

Clean and well structured

Python code

Requirements file

Deployment instructions

Full deployment guide

Step by step instructions to recreate the system : doc file with instructions with screen copies for each step and video

RDS setup

IAM roles

VPC configuration

Auto Scaling Group setup

Streamlit deployment

Database schema

Environment variables

Load testing suite

Scripts for simulating many users

Instructions to run tests

Performance summary

IDEAL DEVELOPER

Strong experience with Python and LangChain

Experience with RDS PostgreSQL and pgvector

Strong AWS background
EC2, Auto Scaling, Load Balancer, VPC, IAM, S3

Experience building Streamlit apps

Experience with load testing

Ability to deliver stable production quality code

.

HOW TO APPLY
Please include:
Your relevant experience
Any improvements you recommend for the architecture

8 days to do

make sure I can run first python code on my local windows by using aws cli for using aws resources like rds and s3 with line by line execution for debugging and code exploration

Important : you provide .doc file with step by step instructions with screen copies for each step and video how to do end to end


acceptance criteria I can run on my aws account and my local windows
I do not provide aws (both backend and frontend running on aws) or openai credentials , you use your own credentials for development. then I will use my own accounts for testing

Create needed Backend interface with admin and users input for id and passwords
Backend interface (only starting point as demo)
Admin Menu
user_management_menu

print("\n--- User Management ---")
print("1. List users")
print("2. Add user")
print("3. Delete user")
print("4. Reset user password")
print("0. Back to main menu")


chat_management_menu

print("\n--- Chat Management ---")
print("1. View user chat history")
print("0. Back to main menu")

data_management_menu

print("\n--- Data Management ---")
print("1. Upload PDF(s)")
print("2. Upload all PDFs from folder")
print("3. List all PDFs")
print("4. Delete PDF(s)")
print("5. Delete all public PDFs")
print("0. Back to main menu")

vectordb_management_menu

print("\n--- VectorDB Management ---")
print("1. Ingest all public PDFs")
print("2. Ingest PDF by filename (public or specific user)")
print("3. Remove PDF data by filename")
print("4. Remove PDF data by user")
print("5. List available PDF data")
print("6. Clear all users' memory")
print("7. Clear user memory by user ID")
print("0. Back to main menu")

#
print("\n=== Admin Main Menu ===")
print("1. User Management")
print("2. Chat Management")
print("3. Data Management")
print("4. VectorDB Management")
print("0. Exit")

USER menue
print("\n=== User Main Menu ===")
print("1. Upload PDFs")
print("2. Upload all PDFs from folder")
print("3. List my PDFs")
print("4. Ingest a PDF")
print("5. Ingest all my PDFs")
print("6. List my ingested PDFs")
print("7. Delete a PDF from storage")
print("8. Delete all my PDFs from storage")
print("9. Remove a PDF from vectordb")
print("10. Remove all my PDFs from vectordb")
print("0. Exit")

We are looking for Paid testers for our AWS Cost Optimization Web App.
We currently audit the following services: Lambda, EC2, S3 and CloudWatch.
If you are have an ACTIVE AWS account with any of these services, you can connect your account with our app and see overcharges & cost discrepancies.

We already audited over $1 billion. No change will be made on your AWS account, we will only get read permissions for the purpose of the test.

We will hire multiple people for this paid test.

• Do you have an AWS Account with active S3, EC2 or Lambda services?

I would like to start off by saying that as you build the agent, I want to be a part of the build. Step by step and while I build the same agent on my own AWS account If this one goes as planned and on budget, I have a bigger project afterwards.

Answers inbound calls from employees and property managers/assistant managers (or handles voicemail).
Sends voicemails to a specific email address.
Scheduling
Payroll
Helps with bookkeeping and invoicing

- Answer calls immediately.
- Collect customer info (name, phone, address, service type).
- Take messages and summarize them.
- Route voicemail audio + transcription to email webhook.
- Trigger Zapier workflow for invoicing when job is booked.
- Follow the call script provided.

We are seeking an experienced AWS professional to assist with the setup and download of our current AWS environment. The ideal candidate should have a strong understanding of AWS services and be able to efficiently facilitate the migration and setup process. Your tasks will include configuring AWS resources, ensuring data integrity, and providing support during the transition. If you have a proactive approach and can troubleshoot issues effectively, we'd love to hear from you!

We run a Java/Tomcat application on an EC2 Linux server. It converts documents to PDF using Aspose and receives many parallel callouts from multiple Salesforce orgs. The server becomes unresponsive every few days with errors such as “cannot tunnel through proxy” and “read timeout.” Restarting the instance temporarily fixes the issue, and increasing EC2 resources did not help. We need an AWS expert who can investigate the root cause, stabilize the service, and propose a long-term solution.

The work includes analyzing EC2 performance, reviewing Tomcat/JVM configuration, checking thread pools and connection limits, reviewing logs, and identifying why the app hangs or stops responding under load. We want proper monitoring and alerting set up in CloudWatch, visibility into CPU/memory/network usage, Tomcat thread usage, and early warning alarms. We are open to adjustments in Tomcat/JVM settings, network/proxy configuration, or redesigning the architecture to use load balancing or multiple instances if needed.

You must have strong experience with AWS (EC2, networking, CloudWatch) and production Java/Tomcat systems, including tuning JVMs, debugging timeouts or stalled threads, and solving stability issues caused by load, concurrency, or networking. Experience with services receiving callouts from Salesforce is a plus but not required. Also previous experience with Aspose is a plus.

• Describe a similar situation where you stabilized a Java/Tomcat system on EC2 that was crashing or timing out. What was the cause and how did you fix it?
• Have you worked with systems that receive large volumes of external API callouts (or webhooks) hitting the same server? How did you scale or stabilize it?
• Describe a situation where a server crashed intermittently every few days. How did you approach finding the root cause?
• Have you worked with Tomcat thread pools, connectors, and performance tuning? If yes, please provide details.
• Have you set up CloudWatch monitoring and alerting for production applications before? What kind of metrics or alerts did you implement?

I’m looking for an experienced full-stack engineer to complete the backend architecture and milestone build-out for a mobile photo app. The stack is:

Next.js (likely Expo/React Native for frontend but backend in Next)

Supabase (Postgres, Storage, RLS, Edge Functions)

Stripe (subscriptions)

AI microservices for image editing (OpenAI or Replicate)

Most of the database schema + triggers are already set up. I need someone to finalize backend endpoints, Row Level Security, payment logic, media pipelines, and AI request handling — then integrate everything cleanly.

Responsibilities:

-Finalize remaining Postgres tables, relationships, indexes

-Write RLS policies for all tables (minimal attack surface, zero data leakage)

-Build Supabase Edge Functions for:

-Auth flows

-Uploading & processing media

-Album sharing

-Notifications

-AI request queue + logs

-Integrate Stripe billing (subscription tiers, webhooks, storage quotas)

-Build clean REST/RPC endpoints for the mobile app

-Provide documentation + Postman collection

Requirements:

Deep Supabase expertise (RLS, SQL triggers, edge functions)

Strong Next.js API routes / server-side dev

Stripe subscription & webhook experience

Experience with AI image APIs is a plus

Must write clean, secure, auditable code

MUST provide examples of Supabase projects with RLS

Project Scope:
~40–60 hours total
2–3 weeks
Milestone-based delivery

To Apply:
Send:

-GitHub showing Supabase / SQL work

-REAL Supabase project you built with RLS

-Your estimated timeline

-Why you’re a fit

• Include a link to your GitHub profile and/or website
• What frameworks have you worked with?
• Describe your approach to testing and improving QA

Project Title: ZPL Label Template Specialist Needed (Zebra & Brother Printers) – Fixed Deliverable

Project Description:
We are looking for an experienced ZPL (Zebra Programming Language) specialist to create a production-ready thermal label template compatible with Zebra and Brother TJ-series industrial printers.

This is a fixed-scope contract, not ongoing development.

Required Deliverable:

One completed ZPL label template (7×5 cm / 203 dpi)

Layout will include multiple text fields, a QR code, and an embedded monochrome logo

Template must be clean, collision-free, and ready for backend placeholder replacement

Provide a filled sample ZPL with dummy data for print testing

Provide a short integration guide (what placeholders exist, how backends should inject values)

Mandatory Skills:

Strong experience with ZPL II

Ability to design templates using ^FO, ^FB, ^A0, ^BQN, ^BY, ^CI, etc.

Experience embedding images using ^GF (Z64)

Experience with Zebra ZD / ZT series and/or Brother TJ printers

Ability to convert PNG/SVG to crisp monochrome GF blocks

Ability to test output using simulators (Labelary or Zebra Designer)

Nice to Have (Not Required):

Experience with logistics, barcode systems, or thermal label automation

Knowledge of optimizing print darkness/density for thermal printers

What We Provide:

Label layout mockup (final design)

Logo file(s)

Placeholder list (field names)

Test scenarios

What You Deliver:

Final ZPL template (clean and organised)

Annotated version with comments

Sample ZPL output (filled with test data)

Quick integration notes for our backend developer

1–2 rounds of revisions after review

Timeline:
We expect the work to be completed within 5–7 days.

How to Apply:
Please include:

1–2 examples of ZPL templates you have created

Confirmation that you have worked with Zebra/Brother industrial printers

Your fixed-price quote

Your availability to start within 24–48 hours

Skills: C Programming, Python, Amazon Web Services, Label Design, Image Processing, AWS Lambda, Printer Repair, Amazon S3, Print Design, QR Code Making

We are looking for an experienced Databricks & AWS Data Pipeline Engineer to help build a centralized data environment that integrates multiple data sources and supports scalable analytics. The role includes developing ingestion pipelines into AWS S3 and Databricks, implementing Delta Lake architecture (Bronze/Silver/Gold), configuring Unity Catalog, and orchestrating workflows using DLT or Databricks Workflows. You will handle transformations, data quality checks, schema standards, and integration with BI tools while maintaining strong documentation and Git practices. Experience with PySpark, SQL, cloud data engineering, and working with structured/unstructured data is essential.

Migrate backend, database, and media storage to AWS
• Set up AWS services (EC2, RDS, S3, VPC, CloudFront, IAM, etc.)
• Optimize performance, security, and cost
• Ensure a stable migration with minimal downtime
• Optional: Set up basic CI/CD

Ideal Candidate
• Strong experience with AWS migrations
• Skilled with AWS MGN, DMS, CloudEndure, or manual migration
• Good understanding of VPC, networking, and security
• Able to manage the project independently and quickly

Engagement
• One-time freelance/contract project

Position Overview
We are seeking an experienced AI Engineer with deep expertise in AWS Generative AI services to design, develop, and implement AI-powered solutions. The ideal candidate will have hands-on experience with AWS Bedrock, Amazon Q Business, Claude models, and other AWS AI services, combined with strong cloud architecture background.

Required Technical Skills
Core AWS GenAI Services
AWS Bedrock: Hands-on experience with Bedrock services


Claude Models: Proficiency with Claude 3.5 Sonnet, Claude 4, and other Anthropic models via Amazon Bedrock

Amazon QuickSuite: Experience building AI-powered search and document management solutions


AWS Quick Suite: Knowledge of business intelligence capabilities, custom agents, and automation workflows
Supporting AWS Services
Amazon S3: Document storage, data lakes, and content management
AWS Lambda: Serverless computing for AI workflows
Amazon Textract: Document data extraction and processing
Amazon Personalize: Recommendation engine development
Amazon Athena: Data querying and analytics
DynamoDB: NoSQL database management
Amazon VPC, KMS, Secrets Manager: Security and networking
Architecture & Development
Cloud Architecture: AWS Solutions Architect certification preferred


Programming Languages: Python, Java, JavaScript/TypeScript

Infrastructure as Code (IaC): CloudFormation, CDK experience
DevOps: CI/CD pipelines, containerization (ECS/ECR)

Key Responsibilities
AI Solution Development
Design and implement AI-powered applications using AWS Bedrock and foundation models

Develop intelligent document management systems with search capabilities

Create custom AI agents and automation workflows

Build recommendation engines for business applications
Architecture & Integration
Architect scalable, serverless AI solutions on AWS
Integrate third-party tools and APIs with AWS services
Design data pipelines for AI model training and inference
Implement security best practices for AI applications
Optimization & Performance
Fine-tune AI models for specific use cases

Optimize cost and performance of AI workloads

Implement monitoring and observability for AI systems
Conduct load testing and performance optimization
Required Experience
Professional Background
5+ years of software engineering experience
3+ years of AWS cloud architecture experience
2+ years of hands-on AI/ML implementation experience
1+ year of production GenAI application development

Project Experience
Experience transitioning from POC to production MVP
Large-scale enterprise IT system development
Document management and search solution implementation

AI agent development and deployment

Preferred Qualifications
Certifications
AWS Certified Solutions Architect (Professional preferred)

AWS Certified Machine Learning Specialty
AWS Generative AI Professional Certificate
Industry Experience
Experience with enterprise AI transformation projects

Knowledge of compliance and security requirements for AI systems
Background in data analytics and business intelligence

Soft Skills & Attributes
Strong problem-solving and analytical thinking
Excellent communication skills for technical and business stakeholders
Ability to work in fast-paced, innovative environments
Experience with agile project management methodologies