Vetted Java Persistence API (JPA) Professionals

Pre-screened and vetted.

SM

Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and cloud microservices

4y exp
Capital OneCalifornia State University, Long Beach

Frontend-focused JavaScript engineer who built Collabsync with real-time chat and file sharing using Socket.io, emphasizing reusable components, clear event contracts, and performance (minimizing React re-renders). Has experience at PwC building internal React/Angular dashboards and documenting insurance APIs, plus a contract role at Capital One delivering in fast-changing, loosely defined environments.

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JY

Jiaxin Yu

Screened

Intern Software Engineer specializing in systems and full-stack web development

Los Angeles, CA0y exp
SLBUSC

Open-source contributor to a JavaScript visualization library who focused on runtime/rendering performance—eliminating unnecessary full redraws via memoization and diff-based updates validated with Chrome profiling. Also strengthened the project’s developer experience by adding TypeScript definitions, writing practical documentation, building minimal example apps, and handling community issues with reproducible debugging and public fixes.

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AK

Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines

Boston, MA4y exp
CiscoNortheastern University
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Sravani Raghavaraju - Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection in Texas, USA

Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection

Texas, USA4y exp
PayPalUniversity of North Texas
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MH

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

Philadelphia, PA14y exp
CognizantCalifornia Lutheran University
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MS

Mid-level Full-Stack Java Developer specializing in Financial Services

NJ, USA4y exp
Goldman SachsNJIT
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SS

Mid-level Full-Stack Developer specializing in Java microservices and React on AWS

Chicago, IL4y exp
UberIllinois Institute of Technology
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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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RG

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

5y exp
WalmartUniversity of Texas at Arlington
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CN

Mid-Level Software Engineer specializing in Java, Spring Boot, and AWS

USA4y exp
Progress SolutionsUniversity of Michigan

Built and deployed a production credit card fraud detection platform that scores transactions in real time using TensorFlow/scikit-learn models exposed via a Spring Boot REST API, with strict SLAs, fallback to legacy rules, and Splunk-based monitoring/drift tracking. Also has enterprise orchestration experience with TIBCO BusinessWorks (BW 6.6/BWCE), coordinating REST/SOAP services and JMS messaging (TIBCO EMS) with robust error handling and compensation logic.

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SS

Mid-Level Full-Stack Software Engineer specializing in API-first microservices and cloud platforms

Arlington, TX4y exp
University of Texas at ArlingtonUniversity of Texas at Arlington

Backend-focused engineer who built a resume processing and job application platform using Python/MongoDB/Streamlit, including OpenAI-powered skill/keyword extraction and recruiter-facing search/filtering. Has hands-on cloud deployment experience on AWS/Azure and executed an on-prem reservation portal migration to Azure using a phased trial-and-cutover approach; also automated CI/CD with Jenkins and GitHub Actions.

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Mithilesh Gaurihar - Mid-Level Software Engineer specializing in Java microservices and cloud-native systems in USA

Mid-Level Software Engineer specializing in Java microservices and cloud-native systems

USA4y exp
CitigroupArizona State University

Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.

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Harshitha Ayenugula - Mid-level Full-Stack Software Engineer specializing in microservices and payments in New York, USA

Mid-level Full-Stack Software Engineer specializing in microservices and payments

New York, USA5y exp
T-MobileUniversity at Buffalo

Full-stack engineer with experience at T-Mobile, Cisco, and Bharti Airtel, owning production plan upgrade/billing flows end-to-end from React/TypeScript UI through Spring Boot services to Docker/Jenkins/Kubernetes deployments. Demonstrated reliability and performance wins by migrating synchronous service calls to Kafka-based async processing with circuit breakers and by tuning Postgres queries/connection pools, achieving a reported 25% API response-time improvement and faster incident resolution via improved observability.

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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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LS

Mid-level Software Engineer specializing in cloud-native microservices and workflow automation

TX, USA5y exp
ServiceNowCalifornia State University, Long Beach

Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.

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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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AV

Mid-Level Software Engineer specializing in cloud infrastructure and microservices

SLC, USA3y exp
Goldman SachsGeorge Mason University

Backend engineer who has led major platform evolution to cloud-native microservices (Spring Boot on AWS with Terraform) and built scalable, secure FastAPI APIs. Demonstrates strong production rigor with metric-driven validation, canary/phased rollouts, and incremental migrations using shadow traffic/feature flags/parallel writes—achieving faster deployments, fewer incidents, and zero-downtime traffic spikes and migrations.

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SY

Shishir Yadav

Screened

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

New York, NY3y exp
Freddie MacPurdue University

Software engineer in the mortgage/financial services domain (Freddie Mac) who builds end-to-end loan origination and credit risk capabilities using Spring Boot microservices, Angular dashboards, and data pipelines. Delivered measurable impact (30% reduction in underwriting turnaround time) and emphasizes production reliability/compliance with strong guardrails, observability, and evaluation loops for risk scoring systems.

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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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RR

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

4y exp
Molina HealthcareUniversity at Buffalo

Software engineer with experience at Molina Healthcare and Target, owning production features end-to-end across backend, data pipelines, and UI. Built an event-driven claims validation system (Python/Java/Spring Boot/Kafka) with strong observability, and shipped embeddings-based semantic product search with evaluation loops (CTR/top-k + human review) and guardrails like keyword-search fallback.

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DS

Mid-Level Full-Stack Developer specializing in Java/Spring microservices and cloud platforms

Texas, USA4y exp
Bank of AmericaTexas A&M University-Corpus Christi

Full-stack engineer with e-commerce experience who shipped and owned an order history dashboard using Next.js App Router/TypeScript, combining server components for SEO/perf with client-side interactivity via React Query. Has backend reliability experience (Temporal order-processing workflows, Postgres modeling/indexing, and payment API idempotency keys), and emphasizes production stability, observability, and zero-incident launches.

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Venkata Phaneendra - Mid-Level Java Full-Stack Developer specializing in cloud-native microservices in United States

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

United States6y exp
State FarmMurray State University

Full-stack engineer with production ownership across React/TypeScript, Node/Express, and Postgres, including zero-downtime releases and rollbackable migrations. Demonstrated measurable performance wins (20% response-time reduction) through DB query profiling and batching, plus hands-on AWS operations (ECS/Lambda/CloudWatch) and reliability patterns for ETL (retries, DLQs, idempotency). Experience shipping microservices quickly in ambiguous, fast-paced environments (Deloitte).

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