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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Senior Software Engineer specializing in payments, billing, and fraud/risk platforms
Staff Software Engineer specializing in applied AI agents and full-stack product development
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Senior Full-Stack Software Engineer specializing in web platforms and AI-enabled experiences
Senior Software Engineer specializing in cloud security and identity management
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Kevin Kyi
Intern Machine Learning Engineer specializing in RAG systems and AWS cloud infrastructure
“Internship at BlueFoxLabs building and deploying an AI/ML RAG system for a biopharma client on top of LibreChat, including an AWS Textract ingestion pipeline and PGVector retrieval deployed to AWS EKS. Demonstrated production-minded scalability work by moving from a vertically scaled EC2 setup to a horizontally scaling Kubernetes/EKS deployment, using CI/CD to safely incorporate requirement changes like tabular document data.”
Sergey Pustovit
Director-level Data Platform & Analytics Engineering Leader specializing in distributed systems
“Entrepreneurially minded builder focused on proving architecture concepts via minimal demo prototypes for marketing. Has hands-on experience improving an A/B experimentation framework by interviewing stakeholders, identifying system limits and bottlenecks, and defining success criteria to scale experimentation and speed up analysis.”
Yihao Xie
Senior Backend Engineer specializing in Python and AWS serverless systems
“Backend/data engineer with Amazon supply-chain experience building production serverless Python services and ETL pipelines on AWS (Lambda, API Gateway, S3, RDS, Glue). Has modernized legacy SAS jobs into Python with rigorous parity testing and phased migrations, and has delivered major SQL performance gains (minutes down to seconds) through indexing and partitioning.”
Kevin Lee
Senior Software Engineer specializing in scalable backend and platform systems
“Backend/data engineer with hands-on production experience across GCP (FastAPI microservices on Kubernetes) and AWS (Lambda, ECS Fargate, Glue). Has modernized legacy SAS batch systems into Python services with parallel-run parity validation, and has strong operational rigor in ETL reliability/monitoring plus proven SQL tuning impact (25s to <300ms, ~60% CPU reduction).”
“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Intern Software Engineer specializing in databases and LLM-powered developer tools
Mid-Level Software Engineer specializing in Python backend and ML infrastructure
Mid-level Software Engineer specializing in backend and AWS cloud infrastructure
Junior Software Development Engineer specializing in AI agents and personalization
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation