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Vetted Azure Kubernetes Service Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Senior AI and Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Full-Stack Engineer specializing in cloud-native AI and healthcare platforms
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Mid-level Full-Stack Java Developer specializing in cloud and healthcare systems
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Senior Software Engineer specializing in cloud-native systems and Generative AI
Staff AI Systems Engineer specializing in multi-agent and distributed platforms
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Yeshwanth Sai Pala
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
“Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.”
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.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems