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Vetted Java Persistence API (JPA) Professionals
Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Mid-level Java Full-Stack Developer specializing in microservices for banking and insurance
Mid-level Full-Stack Engineer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices and React
Mid-level Full-Stack Engineer specializing in Java/Spring and React on cloud microservices
Mid-level Full-Stack Java Developer specializing in enterprise web applications
Mid-level Full-Stack Java Engineer specializing in cloud-native microservices (Healthcare & FinTech)
Mid-Level Software Engineer specializing in cloud-native microservices and AI automation
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React
Mid-level Full-Stack Developer specializing in FinTech payments and secure APIs
Intern Software Engineer specializing in cloud governance and distributed systems
Mid-level Full-Stack Engineer specializing in React and Java microservices
mahesh narne
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”
Akash Patil
Mid-Level Software Engineer specializing in backend systems and LLM/RAG applications
“Backend/AI engineer at Intuit who built a production AI-powered case assistant for support agents (FastAPI on AWS EKS) combining Postgres case data, OpenSearch retrieval with embedding reranking, and internal LLMs. Improved peak-season reliability by diagnosing P95/P99 timeout spikes and cutting P95 latency from ~800ms to <400ms via composite indexing, keyset pagination, connection pool tuning, and caching, while adding grounded-generation guardrails (evidence packs, confidence thresholds, fallbacks, human-in-the-loop).”
Aarati Dulal
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”
Rahul Kushwaha
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”