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Vetted AWS CloudFormation Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in Cloud-Native Platforms on AWS and Kubernetes
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms
Senior Software Engineer specializing in Healthcare IT and cloud-native microservices
Junior Software Engineer specializing in data engineering and machine learning
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Mid-level Full-Stack Engineer specializing in cloud-native FinTech systems
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Senior Full-Stack Engineer specializing in cloud-native enterprise applications and ServiceNow ITSM
Senior Software Engineer specializing in distributed systems and agentic AI platforms
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Staff Full-Stack Software Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Principal Enterprise Architect specializing in cloud modernization for financial services
Mid-level Platform Engineer specializing in cloud infrastructure and DevOps
Senior Data Engineer specializing in cloud data platforms and big data pipelines
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.”
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.”