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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Senior Software Developer specializing in Python, AWS, and Big Data
Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Senior Backend Engineer specializing in cloud-native microservices and real-time streaming
Junior Software Engineer specializing in cloud infrastructure and database tooling
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-Level Full-Stack Software Engineer specializing in FinTech platforms
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Senior AI/ML Engineer specializing in production AI systems for healthcare and finance
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”
Mahesh Purushothaman
Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms
“Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.”
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”