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Vetted Amazon EKS 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.”
greg farhadian
Senior Software Engineer specializing in cloud data platforms and Java microservices
“Backend/data engineer with experience building Kafka-driven real-time pipelines that support ML code deployment and downstream integrations. Currently migrating high-throughput mainframe (COBOL/assembly) processing to Java, using Spark/Databricks to preserve performance and employing rigorous A/B testing across dev/pre-prod/prod with years of historical data.”
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.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Intern AI/ML Engineer specializing in LLM systems and cloud-native microservices
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Mid-level Full-Stack Developer specializing in cloud-native web applications
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
Senior Backend Software Engineer specializing in Python and AWS cloud services
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI integrations
Mid-level Data Scientist / ML Engineer specializing in NLP, recommender systems, and insurance analytics
Senior Cloud Infrastructure & DevOps Engineer specializing in AWS, Kubernetes, and automation
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems
Senior Software Engineer specializing in backend systems and high-throughput data pipelines