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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 on AWS
BHARGAV KODURU
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI integration
“Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.”
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Mid-Level Software Developer specializing in cloud databases and distributed systems
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Staff Software Engineer specializing in cloud-native microservices for financial platforms
Senior Full-Stack Engineer specializing in enterprise microservices across FinTech and Healthcare
Senior Solution Architect and Engineering Manager specializing in government, FinTech, and cloud platforms
Intern Full-Stack Software Engineer specializing in cloud-native web platforms
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot and Angular/React
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Lakshmi tanikonda
Mid-Level Software Engineer specializing in full-stack and backend systems
“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”
Shuju Sun
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Meghana kanakam
Mid-Level Java Developer specializing in FinTech microservices
“Backend/platform engineer with deep payments experience who built and operated a real-time transaction routing service end-to-end on AWS (Spring Boot, PostgreSQL/RDS, Redis, Kubernetes), delivering ~40% latency reduction and 99.99% uptime via strong resiliency and observability practices. Also productionized an internal LLM-powered RAG knowledge assistant with guardrails and a user-feedback-driven evaluation loop, and has led incremental monolith-to-microservices modernization using Strangler Fig and shadow traffic.”
Shubham Singh
Mid-level Software Engineer specializing in LLM systems and intelligent search
“Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.”