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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Mid-level Software Development Engineer specializing in Java microservices and FinTech
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Senior Full-Stack Engineer specializing in AI-native SaaS and cloud infrastructure
Intern/Entry Full-Stack Software Engineer specializing in backend APIs and AWS
Mid-level AWS Cloud Engineer specializing in GovCloud security and operations
Senior SDET specializing in UI/API automation and performance testing for cloud-native systems
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and regulated healthcare platforms
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Punith Jayaramu
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
Rachana Ramesh
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack/backend engineer who owned end-to-end delivery for DentalScan, an AI-powered healthcare platform, building Kafka-based Node.js microservices plus Next.js clinician dashboards and CI/CD on Vercel. Productionized LLM/voice AI patient communication (Twilio/Retell AI) with prompt templates, guardrails, and monitoring, supporting 1,000+ scans/day at sub-100ms latency and reducing clinic admin workload. Previously modernized an agricultural data platform at Infosys to Spring Boot/Docker microservices with Redis, Jenkins CI/CD, and AWS CloudWatch monitoring.”
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Backend Software Engineer specializing in distributed systems and cloud-native microservices
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices