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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Senior .NET Full-Stack Engineer specializing in healthcare cloud platforms
Mid-level Software Engineer specializing in distributed systems and applied ML
Intern Full-Stack Software Engineer specializing in cloud microservices and AI applications
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Full-Stack Developer specializing in AWS, Python/FastAPI, and React
Mid-level Software Engineer specializing in cloud-native microservices and ML-driven automation
Senior Full-Stack Software Engineer specializing in cloud microservices and GenAI
Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)
Mid-level Data Engineer specializing in AWS lakehouse and Spark pipelines
Senior Data Engineer specializing in Cloud Data Platforms and Generative AI
Senior Full-Stack Developer specializing in Python, AWS, and data/ETL systems
Intern AI/Backend Engineer specializing in LLM agents and cloud microservices
Mid-Level Software Engineer specializing in AI systems and full-stack development
Senior Technical Support Engineer specializing in cloud and container security
Mid-level Software Developer specializing in backend, cloud-native systems, and AI automation
Johnnie Sanders
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Harbir Dhillon
Mid-level Software Engineer specializing in distributed systems and cloud-based full-stack development
“Software engineering candidate who built a compiler-like Python tool to translate between Python code and UML-style diagrams (and back). Also has hands-on AWS experience building a distributed pub/sub system using services like Lambda, API Gateway, ELB, WAF, VPC, and DynamoDB, plus ML projects using Kaggle datasets (e.g., diabetes risk analysis).”
NEHA KOLAN
Mid-Level Software Engineer specializing in microservices and cloud data pipelines
“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”