Vetted Full Stack Java Developers

Pre-screened and vetted.

DK

Senior Full-Stack Java Engineer specializing in cloud-native microservices for financial services

Columbus, OH7y exp
NationwideTrine University
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VJ

Senior Full-Stack Java Developer specializing in cloud-native microservices

Overland Park, KS5y exp
T-MobileIllinois Institute of Technology
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NB

Mid-level Full-Stack Java & AI Engineer specializing in cloud-native microservices and RAG assistants

Phoenix, AZ7y exp
American ExpressUniversity of Central Missouri
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SJ

Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React

5y exp
CitigroupTexas Tech University
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GM

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

TX, USA5y exp
Wells FargoWichita State University
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SP

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

Richardson, TX6y exp
InfosysOklahoma State University
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VK

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Chicago, IL5y exp
Northern TrustSaint Louis University
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AT

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

New York, NY3y exp
PayoneerHunter College (CUNY)
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VS

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

Charlotte, NC4y exp
WalmartUniversity of North Carolina
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DC

Mid-level Full-Stack Engineer specializing in Java (Jakarta EE) and React/Angular

New York, NY6y exp
KPMG
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AI

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

NC, USA6y exp
Bank of AmericaUniversity of Central Missouri

Software engineer with strong full-stack and platform experience (TypeScript/React/Node.js) who has built real-time analytics dashboards and microservices using RabbitMQ. Demonstrates production-minded decision-making under launch pressure (manual fallback for payment-impacting third-party API issues) and has delivered internal DevOps tooling that automates compliance checks via GitHub/Jira integrations.

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RP

Rubesh Phaiju

Screened

Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI

Mechanicsburg, PA8y exp
DeloitteUniversity of the Cumberlands

Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.

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PV

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

Texas, USA5y exp
Capital OneAuburn University at Montgomery

Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).

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AP

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

USA4y exp
Epic SystemsWebster University

Full-stack Java developer with IBM and Epic Systems experience modernizing legacy enterprise apps into microservices and delivering customer-facing healthcare claims workflows at very high scale (2M+ transactions/day). Strong blend of product engineering (APIs + React/TypeScript UI) and production operations on AWS, including performance incident remediation via query optimization, indexing, and autoscaling.

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BG

Senior Full-Stack Java Developer specializing in cloud-native microservices

Dallas, TX7y exp
Texas Capital BankUniversity of North Texas

Backend/platform engineer with production ownership of high-volume transaction analytics and fraud monitoring services built in Java/Spring Boot. Has scaled data processing platforms (including healthcare datasets) and operated Kafka-based event pipelines with schema versioning, deduplication, and replay/backfill workflows, using strong observability via CloudWatch/Grafana and CI/CD with Jenkins.

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Harshini Jaligama - Senior Full-Stack Java Developer specializing in cloud-native microservices and FinTech in Remote, USA

Senior Full-Stack Java Developer specializing in cloud-native microservices and FinTech

Remote, USA5y exp
DXC TechnologyCal State Long Beach

Full-stack engineer (5+ years with Java/Spring Boot and React) who has built and deployed AWS-based microservices platforms using Kafka for real-time rewards/promotions and large-scale telemetry analytics. Demonstrates hands-on scalability expertise (partitioning, consumer groups, durability/acks, idempotency) and production-minded delivery practices (CI/CD, Docker, testing, Swagger, monitoring).

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BS

Bala Sistla

Screened

Senior Full-Stack Engineer specializing in FinTech and enterprise web applications

Saint Louis, MO6y exp
MastercardSoutheast Missouri State University

Full-stack/product-minded engineer with strong distributed systems depth, spanning Spring Boot/Kafka microservices, Kubernetes observability, and large-scale React/TypeScript frontends. Particularly compelling for teams building real-time operational products: they describe owning payment/inventory services, designing telemetry dashboards for 150+ services, and helping move claims tracking from polling to event-driven architecture.

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LT

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

Remote, USA5y exp
DXC TechnologySoutheast Missouri State University

Full-stack engineer who built a policy management and notifications platform end-to-end: Java/Spring Boot microservices with PostgreSQL plus a React/Redux UI, deployed on AWS with Docker and Jenkins CI/CD. Demonstrates strong real-world scaling and reliability practices (Redis caching, Kafka, query/index tuning, ACID transactions, locking, and idempotent processing) to handle high-volume concurrent workloads.

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Sri Lalitha - Senior Full-Stack Java Engineer specializing in cloud-native microservices and FinTech in California, USA

Sri Lalitha

Screened

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

California, USA6y exp
JoydropJawaharlal Nehru Technological University

Backend engineer who owned a Python task management API with JWT auth, async notifications, and performance work (DB optimization/caching) to handle high volumes. Led an on-prem to Azure private cloud migration at Morgan Stanley using GitOps and IaC (Terraform/ARM) with phased rollout and rollback planning. Also built a Kafka real-time streaming pipeline with exactly-once/idempotent consumers and Prometheus/Grafana monitoring.

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Kaushik Balakesavalu - Mid-level Full-Stack Java Developer specializing in enterprise SaaS and FinTech in Fairfax, VA

Mid-level Full-Stack Java Developer specializing in enterprise SaaS and FinTech

Fairfax, VA5y exp
State StreetGeorge Mason University

Software engineer with fintech/retirement-fund domain experience who led an internal dashboard consolidating fund transactions, approvals, and reporting into a single workflow tool. Strong in full-stack delivery (React + REST APIs + DB optimization) and in scaling/cleaning messy operational data via modular ETL pipelines (Python/Node), iterating post-launch with performance improvements like caching, pagination, and enhanced filtering.

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Narendra R - Senior Full-Stack Java Developer specializing in microservices and cloud platforms in Dallas, TX

Narendra R

Screened

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Dallas, TX7y exp
PNCUniversity of South Dakota

Backend engineer focused on scalable Python/Flask services and high-performance PostgreSQL/SQLAlchemy systems, with demonstrated wins like reducing N+1-driven response times to under 200ms and cutting P95 latency below 1s via background queues and caching. Has production experience operationalizing ML models as Dockerized APIs on AWS (S3/Lambda) with monitoring (CloudWatch/ELK), plus robust multi-tenant isolation using JWT-driven tenant context and row-level security.

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