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Vetted AWS IAM Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in Java microservices and cloud platforms
Senior Cloud Software Engineer specializing in AWS microservices and DevOps
Senior Full-Stack Engineer specializing in PHP/Laravel, APIs, and e-commerce platforms
Senior .NET Full-Stack Engineer specializing in enterprise web apps and cloud platforms
Senior Backend Software Engineer specializing in Java microservices and cloud platforms
Mid-Level Software Developer specializing in cloud-native microservices and FinTech
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes
Mid-level Backend Software Engineer specializing in cloud microservices and distributed systems
Mid-Level Full-Stack Software Developer specializing in AWS cloud and microservices
Executive Technology Leader specializing in cloud security, product strategy, and scalable platforms
Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms
Mid-level Backend Software Engineer specializing in Go/Python distributed systems
Mid-level Machine Learning Engineer specializing in LLMs, Generative AI, and MLOps
Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms
Executive Engineering Leader & Software Architect specializing in FinTech and AI-first platforms
Mid-level Software Engineer specializing in backend microservices and FinTech
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”