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Vetted JUnit Professionals
Pre-screened and vetted.
Senior DevSecOps Engineer specializing in secure multi-cloud CI/CD and IaC
Junior Full-Stack Software Engineer specializing in data-driven web apps and cloud platforms
Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech
Mid-Level Software Engineer specializing in cloud-native microservices and Healthcare IT
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in React, Node.js, and AWS
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React
Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines
Senior Java Full-Stack Developer specializing in enterprise web apps and microservices
Senior UI Developer specializing in Angular and React enterprise web applications
Senior SQA Engineer specializing in test automation, CI/CD quality gates, and observability
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
KrishnaVarshith Pabbisetty
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”