Vetted Java Developers

Pre-screened and vetted.

HK

Mid-Level Java Developer specializing in microservices and AI/ML integration

Texas, USA4y exp
UberTexas Tech University
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MA

Mid-Level Java Developer specializing in backend microservices and security

McDonald, PA5y exp
JPMorgan ChaseUniversity of Central Missouri
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BS

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

New York, NY4y exp
JPMorgan ChaseUniversity of Memphis
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RP

Senior Enterprise Architect specializing in cloud, data, and platform modernization

Morrisville, NC18y exp
HCLTechDuke University
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NR

Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms

6y exp
CignaNew York Institute of Technology
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LS

Mid-Level Full-Stack Software Engineer specializing in Java/Spring and .NET

Dallas, TX3y exp
Goldman SachsUniversity of Texas at Arlington
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DS

Mid-level Full-Stack Java Developer specializing in enterprise web applications

Dallas, Texas4y exp
CVS HealthUniversity of Texas at Arlington
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JC

Mid-level Full-Stack Java Engineer specializing in cloud-native microservices (Healthcare & FinTech)

Texas, USA5y exp
Johnson & JohnsonUniversity of North Texas
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MR

Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech

Lake Elsinore, CA17y exp
Bright Associates LLCUC San Diego
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AJ

Senior DevOps & Cloud Infrastructure Engineering Manager specializing in multi-cloud operations

San Francisco, CA13y exp
Fast RetailingRajasthan Technical University
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SC

Senior Full-Stack Java Developer specializing in microservices, cloud, and real-time systems

6y exp
DiscoverUniversity of Dayton
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MN

Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms

New York, US5y exp
JPMorgan ChaseUniversity of Cincinnati
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SP

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Canada6y exp
Rediron TechnologiesCambrian College
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SG

Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)

5y exp
PNCPace University
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RG

Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs

5y exp
WalmartUniversity of Texas at Arlington
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SB

Silpa Bhavani

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Oakland, CA5y exp
BlockLamar University

Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.

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Vinay Naidu - Senior Full-Stack Java Developer specializing in Healthcare and FinTech

Vinay Naidu

Screened

Senior Full-Stack Java Developer specializing in Healthcare and FinTech

5y exp
Aurora Health CareUniversity of Dayton

Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.

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OB

Mid-level Software Developer specializing in Java backend and microservices

USA4y exp
HumanaUniversity of Virginia

Built and deployed an AI-powered insurance claims fraud platform end-to-end using Java/Spring Boot, Kafka, OpenAI, pgvector, and AWS EKS. Stands out for combining LLM/RAG architecture with production-grade scalability and observability, delivering measurable impact including 62% less manual review, 40% better fraud precision, 37% higher throughput, and 99.95% uptime.

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VR

Vaman Rao

Screened

Mid-level Full-Stack Java Developer specializing in microservices and cloud-native web apps

NJ, USA5y exp
UberConcordia University Wisconsin

Backend engineer focused on Python/FastAPI microservices, with hands-on experience deploying to AWS (EKS/ECR) via Jenkins and GitOps-style workflows using ArgoCD. Has built and stabilized real-time Kafka payment-event streaming pipelines and improved production performance under peak load through Redis caching, SQL optimization, and robust retry/DLQ patterns. Also supported phased migrations from on-prem environments to AWS with gradual traffic shifting and monitoring.

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CM

Mid-level Full-Stack Java Developer specializing in payments and event-driven microservices

Arlington, VA5y exp
IntuitGeorge Washington University

Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.

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MD

Maitri Dodiya

Screened

Mid-level Software Engineer specializing in scalable real-time data systems

USA4y exp
FanaticsArizona State University

Backend/platform engineer from Fanatics sportsbook core team with deep experience in real-time ingestion systems (Kafka) and high-throughput performance optimization. Delivered an 87% latency reduction on a Java API handling hundreds of thousands of updates per second, and improved reliability of shared internal libraries via deterministic recovery logic, strong testing, and feature-flagged rollouts.

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SR

Mid-Level Java/Full-Stack Engineer specializing in FinTech and cloud-native microservices

Pittsburgh, PA5y exp
Capital OneGannon University

Software engineer/product-focused builder who has delivered customer-facing dashboards (React/TypeScript + Spring Boot) and microservices using RabbitMQ, emphasizing safe, fast iteration with CI/CD, feature flags, and monitoring. Also built an internal monitoring/reporting tool adopted by ops/support by involving users early and iterating based on feedback.

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