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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in React, Python/Django, and AWS
Madhumita Nagle
Software Engineering Manager specializing in Alexa AI and large-scale distributed systems
“Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.”
Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems
Huiren Li
Senior Backend/Full-Stack Engineer specializing in scalable microservices on AWS
“Backend/data engineer with production experience at Uber building a near real-time driver rewards service on AWS (FastAPI, PostgreSQL, Redis) with strong reliability and concurrency controls. Also delivered AWS Lambda/ECS containerized deployments with GitHub Actions CI/CD and cost governance, built AWS Glue ETL with schema-evolution handling, and drove a ~10x SQL performance improvement while owning incident response via CloudWatch.”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
SAI LIKHIT RENIKUNTA
Mid-level Software Engineer specializing in backend systems and AI platforms
“Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.”
Mid-level Software Engineer specializing in backend and cloud microservices
Principal Technical Product Manager specializing in cloud, mobile, and enterprise platforms
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Entry Software Engineer specializing in backend distributed systems and logistics platforms
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Senior Software Engineer specializing in backend, cloud, and ML platforms
Mid-level Full-Stack Engineer specializing in backend systems and FinTech
Senior Software Engineer specializing in AI backend and distributed systems
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Senior Full-Stack Software Engineer specializing in Java/Spring and modern web apps