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Vetted Amazon CloudWatch Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Mid-Level Software Engineer specializing in ML and Generative AI applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level Systems/Cloud Engineer specializing in multi-cloud Linux infrastructure and pre-sales
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-level Full-Stack Developer specializing in modern web apps and cloud platforms
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Senior Cloud & DevOps Engineer specializing in AWS migration, IaC, and CI/CD
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Mid-level Java Software Engineer specializing in backend systems and AI-integrated platforms
Mid-level Full-Stack Engineer specializing in SaaS, HR Tech, and distributed backend systems
Mid-level DevOps/Cloud Engineer specializing in CI/CD, IaC, and Kubernetes on AWS/Azure
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Executive engineering leader specializing in SaaS platform architecture
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Siva swathi javisetty
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”