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Vetted IntelliJ IDEA Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Java Developer specializing in Spring Boot and React
Mid-Level Full-Stack Software Developer specializing in Healthcare IT and FinTech
Mid-Level Backend Java Developer specializing in Spring Boot and REST APIs
Junior AI Engineer specializing in LLM systems, RAG, and production data pipelines
Mid-Level Full-Stack Developer specializing in Java/Spring microservices and modern web UI
Mid-level Software Development Engineer specializing in Java microservices and FinTech
Senior SDET specializing in UI/API automation and performance testing for cloud-native systems
Mid-Level Backend Software Engineer specializing in FinTech and payments
Senior Full-Stack Developer specializing in Python microservices and cloud platforms
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).”
Nazar Fedyk
Senior QA Automation Engineer specializing in end-to-end and API test automation
“QA automation engineer in a banking domain who owned an end-to-end automation suite for critical money movement flows (onboarding, funding, transfers). Demonstrated impact through edge-case coverage (min balance, boundary amounts, repeated actions, timeouts), CI/CD gating with smoke vs regression suites, and catching a high-impact timing defect where UI success masked incorrect balance updates.”
Jyothiraditya Madina
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”
Intern Software Engineer specializing in AI/ML and data-driven web tools
Mid-level Software Engineer specializing in secure full-stack microservices