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Vetted OAuth 2.0 Professionals

Pre-screened and vetted.

AM

Senior Full-Stack Engineer specializing in financial-grade microservices

6y exp
American ExpressFlorida Atlantic University
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VP

Mid-level Full-Stack Developer specializing in FinTech microservices

United States4y exp
American ExpressUniversity of Missouri-Kansas City
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SM

Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions

Burlington, NC8y exp
LabcorpUniversity of Bridgeport
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AO

Senior DevSecOps Engineer specializing in AWS/Azure cloud security and automation

Dallas, Texas7y exp
T-MobileUniversity of Warwick
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NK

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

Remote, United States6y exp
AT&TUniversity of South Florida
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ST

Senior Full-Stack Engineer specializing in React, Java/Spring Boot, and Python microservices

Raleigh, NC9y exp
CVS HealthGovernors State University
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NT

Senior Full-Stack Developer specializing in FinTech microservices

Morristown, NJ8y exp
Valley Bank
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SK

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

Chicago, Illinois11y exp
Capital One
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SK

Mid-level Software Engineer specializing in Java microservices and AI for FinTech

Dallas, TX4y exp
American Express
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AZ

Senior Full-Stack Engineer specializing in scalable web apps and API architecture

United States8y exp
Trinetix
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AR

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

Oregon, USA5y exp
Salesforce
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FH

Senior Software Test Engineer specializing in automation, API, performance, and accessibility testing

New York, New York12y exp
NYC Administration for Children's Services
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HS

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

Dallas, TX4y exp
Baylor Scott & White
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BH

Banchode Hari

Screened

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

USA6y exp
T-MobileKent State University

Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.

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MG

Mike Gardiner

Screened

Technology Executive / Engineering Director specializing in AI-driven platform transformation

Lehi, UT12y exp
VivintWeber State University

Built a 0-to-1 iOS mobile gardening application that helps users plan, track, and harvest crops with pest control guidance, weather, and climate-zone-based planting date recommendations. Demonstrated strong customer discovery and MVP-first product execution, including a major data challenge: compiling US climate zone data for every ZIP code from widely dispersed public sources into an app-ready database.

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RG

Mid-level Python Developer specializing in APIs, data engineering, and cloud-native systems

Remote, USA4y exp
Marsh McLennanFlorida Atlantic University

Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.

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VJ

Vedang Jadhav

Screened

Mid-Level Software Engineer specializing in cloud-native microservices on AWS

New York City, NY5y exp
CitigroupIndiana University Bloomington

Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.

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AS

Mid-level Software Engineer specializing in Java backend microservices

Arlington, TX4y exp
KPMGUniversity of Texas at Arlington

Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.

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AL

Alan Lam

Screened

Engineering Manager & Senior Full-Stack Engineer specializing in e-commerce platforms

San Francisco Bay Area, California12y exp
DecathlonUC Merced

Backend-focused JavaScript/Node.js engineer with e-commerce domain depth from Decathlon, working on foundational microservices for order management, inventory, and fulfillment integrations. Led an infrastructure redesign and shipped a Shopify-based persistent cart experience, diagnosing early production issues via monitoring/log analysis and improving reliability through stronger session persistence and fault-tolerant architecture.

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SK

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

4y exp
Ally FinancialTexas Tech University

Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.

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MM

mohannaik M

Screened

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

Chicago, IL6y exp
EpsilonElmhurst University

Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.

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