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Vetted pytest Professionals
Pre-screened and vetted.
Joseph Lee
Staff Software Engineer specializing in cloud platforms for healthcare and financial workflows
“Backend/data engineer with Optum healthcare claims domain experience building high-reliability Python microservices (FastAPI/Kafka/Postgres) and AWS data platforms (EKS, Glue, Redshift). Demonstrated strong production ownership: fixed duplicate Kafka processing via transactional outbox/idempotency, scaled to millions of daily events, and delivered major SQL performance gains (40+ min to <5 min, ~60% CPU reduction). Seeking remote-only work; targets $130k base.”
Christopher Khan
Senior Software Engineer specializing in Python, cloud platforms, and distributed systems
“Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.”
Antoine Tan
Senior Full-Stack Software Engineer specializing in workflow automation and healthcare AI
“Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.”
Naga Harshita B
Mid-level Full-Stack Engineer specializing in cloud-native data and enterprise platforms
“Software engineer with practical, day-to-day experience embedding AI into development workflows across coding, testing, code review, and AWS data pipelines. Uses tools like Claude, Cline, JUnit, Mockito, and Amazon Bedrock, and stands out for having a realistic, mature view of agent limitations, hallucinations, and the need for strong prompting and human validation.”
Mid-level Software Engineer specializing in cloud storage and distributed systems
Junior Software Engineer specializing in DevOps and full-stack web development
Entry-level Backend Software Engineer specializing in API automation and LLM testing
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-level Full-Stack Developer specializing in cloud-native web applications
Senior Full-Stack Engineer specializing in AI, cloud microservices, and blockchain
Intern Perception/Robotics Engineer specializing in computer vision and embodied AI
Mid-level Python Full-Stack Developer specializing in FinTech and ML systems
Mid-level Full-Stack Software Engineer specializing in Python, React, and FinTech
Senior Full-Stack Engineer specializing in enterprise microservices across FinTech and Healthcare
Senior Software Engineer specializing in distributed streaming systems and microservices
Senior Software Engineer specializing in distributed backend services and data pipelines
Mid-Level Software Engineer specializing in backend, AI systems, and AR/VR services
Senior Software Engineer in Test specializing in QA automation and AI-driven testing
Senior Full-Stack Engineer specializing in Python, data engineering, and cloud platforms
Senior Software Engineer specializing in backend systems and high-throughput data pipelines
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems