Vetted Spring MVC Professionals

Pre-screened and vetted.

JS

Staff Software Engineer specializing in payments platforms and event-driven microservices

San Jose, CA14y exp
eBayUniversity of Nevada, Las Vegas
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CK

Mid-level Backend/Distributed Systems Engineer specializing in cloud-native data pipelines

3y exp
NVIDIASanta Clara University
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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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KK

Senior Full-Stack Software Engineer specializing in Java/Spring Boot and AWS

Atlanta, GA6y exp
T-MobileUniversity of Illinois Springfield
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GG

Mid-Level Software Developer specializing in FinTech and AI-enabled systems

Conroe, TX5y exp
McKinsey & CompanyBinghamton University
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DP

Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React

Chicago, Illinois6y exp
UberIllinois Institute of Technology
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RR

Mid-Level Software Engineer specializing in full-stack systems and cloud platforms

New York, NY4y exp
Goldman SachsUniversity at Buffalo
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JR

Mid-level Full-Stack Engineer specializing in React and Java microservices

New York, United States5y exp
UberFullstack Academy
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HK

Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS

Frisco, TX4y exp
UberUniversity of Texas at Arlington
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GC

Mid-level Software Engineer specializing in backend microservices and cloud-native systems

USA, USA4y exp
UberTexas A&M University–Kingsville
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SS

Mid-level Backend Software Engineer specializing in FinTech and cloud microservices

Bellevue, WA4y exp
UberAuburn University at Montgomery
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VN

Mid-level Software Engineer specializing in FinTech platforms

USA4y exp
CitigroupUniversity at Buffalo
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AD

Aarati Dulal

Screened

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

Dallas, TX6y exp
Goldman SachsAvila University

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).

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AP

Akash Patil

Screened

Mid-Level Software Engineer specializing in backend systems and LLM/RAG applications

5y exp
IntuitNorthern Illinois University

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).

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Hongxi Chen - Intern Software Engineer specializing in distributed systems and backend infrastructure in Beijing, China

Hongxi Chen

Screened

Intern Software Engineer specializing in distributed systems and backend infrastructure

Beijing, China0y exp
Chinese Academy of SciencesUniversity of Nottingham

Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.

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