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Vetted Amazon RDS Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in AI-powered SaaS and web platforms
Senior Full-Stack Software Engineer specializing in healthcare and e-commerce platforms
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Staff AI/ML Engineer specializing in backend platforms and LLM systems
Mid-level Full-Stack Developer specializing in cloud-native web apps and FinTech
Principal Cloud & Data Architect specializing in AI-enabled AWS platforms
Senior Software Engineer specializing in full-stack cloud-native enterprise systems
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Senior Full-Stack Engineer specializing in backend systems and cloud-native platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Staff Engineer specializing in applied AI and healthcare platforms
Mid-level Software Engineer specializing in backend, cloud-native systems, and AI applications
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
Rachana Ramesh
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack TypeScript engineer who has owned a real-time workflow/communication platform end-to-end in production (Node/TS + React, Postgres/Redis, Kafka, Docker/CI/CD). Demonstrates strong distributed-systems pragmatism—designing for failure with retries, DLQs, idempotency keys, and atomic writes—plus operational practices like structured logging, monitoring, and zero-downtime deployments.”