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Vetted Amazon EKS Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in React and Java microservices
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior DevSecOps & Cloud Engineer specializing in Kubernetes, GitOps, and federal compliance
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Senior DevSecOps Engineer specializing in AWS/Azure cloud security and automation
Junior Full-Stack/DevOps Engineer specializing in AWS, Kubernetes, and AI model evaluation
Senior Site Reliability/DevOps Engineer specializing in AWS/Azure Kubernetes and CI/CD
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD
Principal Site Reliability Engineer specializing in multi-cloud platforms, observability, and AIOps
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Mid-level Software Engineer specializing in Java microservices and AI for FinTech
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Abhishek Saraswat
Mid-level Software Engineer specializing in Java backend microservices
“Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.”
JaswanthRaj Bantu Aindla
Mid-level Python Developer specializing in cloud-native microservices for FinTech and Insurance
“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”
Pravallika Kilari
Mid-level AI/ML Engineer specializing in NLP, GenAI, and MLOps in healthcare and finance
“AI/ML engineer with CVS Health experience deploying production LLM systems in regulated healthcare settings, including a large-scale RAG solution (1M+ documents) built for compliance-grade, auditable policy/regulatory Q&A with strong anti-hallucination controls. Also delivered an NLP summarization system for physician notes/case narratives by partnering closely with non-technical care operations stakeholders and iterating via prototypes, dashboards, and feedback loops.”