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Vetted Spring Cloud Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native microservices and payments
Senior Java Full-Stack Developer specializing in cloud-native microservices
Mid-Level Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in cloud-native microservices
Mid-level Full-Stack GenAI/ML Engineer specializing in agentic AI and RAG systems
Mid-Level Software Engineer specializing in AI/ML and cloud deployment
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in FinTech and Insurance platforms
Mid-Level Full-Stack Software Engineer specializing in cloud, web apps, and GenAI
Senior Java Full-Stack Developer specializing in cloud-native FinTech and payments
Senior Full-Stack Developer specializing in Java microservices and AWS cloud
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mrunal Patil
Mid-Level Software Engineer specializing in FinTech microservices
“Backend engineer with experience in fraud reporting and billing systems, building Java/Spring Boot services behind a React frontend and improving performance 40%+ with caching and SQL optimization while maintaining 99.9% uptime. Has hands-on experience migrating a monolith to microservices with incremental rollout, clear data ownership boundaries, and production-grade API reliability/security practices (JWT/OAuth, RBAC, row-level scoping).”
Babji Challagiri
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
“Software engineer with experience at Synchrony and HCL delivering end-to-end production systems: a secure, Kafka-driven transaction processing microservice with React real-time status tracking, containerized and deployed on AWS Kubernetes via Jenkins with ELK/CloudWatch monitoring. Has hands-on incident ownership and performance tuning (DB/query/index/pooling) driving ~20–30% latency improvements, plus built internal Python monitoring APIs with strong reliability and observability.”
Sai Erramada
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems
“Backend engineer with hands-on experience building real-time, event-driven systems at Walgreens, including a Kafka-based prescription status notification service and scalable pipelines for messy prescription/inventory data. Strong focus on reliability patterns (retries, idempotency, DLQs) and iterating based on pharmacist feedback to improve usability.”
Manohar Vallabi
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud event-driven systems
“LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.”