Vetted Microservices Architecture Professionals

Pre-screened and vetted.

SR

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

Minneapolis, MN4y exp
UnitedHealth GroupUniversity of Memphis

Software engineer/product owner experience at UnitedHealth Group owning a high-volume claims eligibility console end-to-end (React/TypeScript + Spring Boot microservices) processing 1M+ transactions/day. Strong in event-driven architecture (Kafka/RabbitMQ), HIPAA-aligned security (OAuth/JWT/RBAC), and building internal observability tools that improve incident triage and production reliability.

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MD

Mid-level Full-Stack Developer specializing in web platforms and cloud (AWS)

United States4y exp
Lincoln FinancialCalifornia State University, Long Beach

Full-stack engineer with financial services experience (Lincoln Financial) who owned a customer-facing financial portal end-to-end using TypeScript/React and Node/Express. Has hands-on microservices and RabbitMQ event-driven workflows, addressing scale issues like retries/duplicates with idempotency and traceable logging, and built an internal real-time ops/support dashboard to improve monitoring and incident response.

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AP

Mid-Level Software Engineer specializing in FinTech and cloud microservices

Remote, USA3y exp
AssurantMidwestern State University

Backend/platform engineer with hands-on ownership of high-stakes data migrations in regulated domains (core banking and insurance), including a Python ETL framework that migrated 100,000+ customer records within a cutover window. Strong DevOps/GitOps background deploying Python and Spring Boot microservices to Kubernetes with Helm and ArgoCD, plus real-time Kafka transaction streaming for fraud/analytics with reliability patterns (DLQs, retries, partition tuning).

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VJ

Mid-level Full-Stack Java Developer specializing in FinTech and real-time systems

TX, USA5y exp
State StreetUniversity of North Texas

Backend/full-stack engineer with finance domain experience (State Street) who built and shipped a Kafka-based real-time trade validation system handling 50k+ trades/sec and cut latency by 42%. Also delivered real-time React dashboards (Redux Toolkit/React Query/WebSockets) and operates AWS EKS microservices with GitOps/ArgoCD; has built a FastAPI + LangChain/GPT-4 intelligent document processing service with JWT/RBAC.

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TT

Tetevi Teteh

Screened

Senior DevSecOps/DevOps Engineer specializing in AWS, Kubernetes, and CI/CD security

Atlanta, GA11y exp
Luna InnovationsFull Sail University

DevOps/Cloud engineer with experience supporting large-scale enterprise infrastructure (AT&T: 50+ Power8/Power9 frames and 2,000+ AIX 7.1/7.2 LPARs) and strong hands-on delivery in AWS/Kubernetes. Built secure Jenkins-to-EKS pipelines with SonarQube/Trivy gates and resolved a widespread CVE-driven build outage by patching the Debian base layer. Also created reusable Terraform modules with remote state/locking and automated drift detection to provision full mirror environments in under an hour.

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KO

Karthik O

Screened

Mid-level AI Software Engineer specializing in LLM systems and cloud APIs

Kansas, USA3y exp
DeloitteUniversity of Central Missouri

Built and productionized an LLM-powered support/knowledge pipeline using embeddings and retrieval (RAG) to deliver more grounded, higher-quality responses while reducing manual effort. Focused on real-world reliability and performance—adding structured validation/guardrails, optimizing vector search and context size for latency/scale, and monitoring failure patterns in production. Experienced with orchestration via LangChain for LLM workflows and Airflow for production data/ML pipelines, and iterates closely with operations stakeholders through demos and feedback.

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VS

Vinay shetty

Screened

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

4y exp
Huntington BankUniversity of North Texas

Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.

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Arunkumar Gangula - Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices in Tempe, Arizona

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

Tempe, Arizona11y exp
Arizona State UniversityArizona State University

Product-minded full-stack engineer from CouponDunia who owned end-to-end notification and recommendation services at million-user scale. Built internal admin/analytics and operations dashboards in React/TypeScript with typed contracts and scalable Node.js REST APIs, and has deep microservices experience with Kafka/RabbitMQ (idempotency, retries/DLQs, partitioning, consumer tuning, and observability).

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SAI NAGINI VALLURUPALLI - Junior Full-Stack Java Developer specializing in Spring Boot microservices and React in Frisco, TX

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

Frisco, TX3y exp
Silicon LabsUniversity of North Carolina at Charlotte

Full-stack Java/Spring Boot + React engineer (3–4 years) who built an end-to-end smart employee management system and a data analytics dashboard handling millions of daily transactional records. Emphasizes scalable layered REST API design, secure microservices practices (Spring Security, JWT/OAuth2), and performant React state/data patterns (Redux Toolkit + RTK Query) for large datasets and role-based views.

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Manikanta Kopparapu - Mid-Level Full-Stack Software Engineer specializing in cloud-native web applications in TX, USA

Mid-Level Full-Stack Software Engineer specializing in cloud-native web applications

TX, USA4y exp
Community Dreams FoundationUniversity of North Texas

Full-stack engineer who has owned customer-facing and internal web portals end-to-end (API, database, React UI, and deployment). Experienced designing multi-service architectures with Node/Express and Java/Spring Boot plus RabbitMQ/Kafka messaging, emphasizing contract/versioning discipline, observability, and operational tooling that measurably reduces support load and manual work.

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Bhanu Gummadi - Mid-level Backend Software Engineer specializing in cloud-native microservices and FinTech in Bellevue, WA

Bhanu Gummadi

Screened

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

Bellevue, WA4y exp
MastercardUniversity of Central Missouri

Backend-focused engineer with Mastercard experience building and operating high-volume transaction-processing microservices. Has owned customer-facing banking services end-to-end and built an internal on-call analytics tool that centralized logs/metrics with real-time filtering to speed root-cause analysis and reduce incident investigation time.

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DP

Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise MLOps

Baltimore, MD4y exp
CVS HealthUniversity of Maryland, Baltimore County

Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.

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PK

PRAJU KUMAR

Screened

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

USA6y exp
Brainvire InfotechAuburn University

Full-stack engineer with hands-on production experience building real-time customer-facing features (order tracking + push notifications) across React/React Native and Node/Spring Boot with Postgres/MySQL. Demonstrates strong reliability patterns (transactional outbox, background workers, idempotent webhook ingestion) and has deployed/operated systems on AWS (ECS/Fargate/ALB, CloudWatch, CodePipeline) with structured observability and environment separation.

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MG

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

Chesterfield, MO5y exp
Reinsurance Group of AmericaUniversity of Missouri-Kansas City

Full-stack engineer with hands-on ownership of real-time, Kafka-driven systems in production, spanning React/TypeScript frontends, Spring Boot/Node backends, and AWS (EKS/ECS/EC2) operations. Notable for modernizing legacy batch workflows into event-driven architectures with measurable impact (35% faster risk calculations, 30% better accuracy) and scaling to 2x volume using reliability patterns like idempotency, retries, and staged rollouts.

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Ganesh Pittala - Senior Software Engineer specializing in distributed systems and cloud-native platforms in New York, USA

Senior Software Engineer specializing in distributed systems and cloud-native platforms

New York, USA5y exp
WalmartBinghamton University

Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).

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Pranita Agrawal - Mid-level Software Engineer specializing in Java microservices and AWS in California, USA

Mid-level Software Engineer specializing in Java microservices and AWS

California, USA5y exp
City of ModestoWayne State University

TypeScript backend/full-stack engineer who owned an internal business workflow platform end-to-end in production, including API/data design, relational DB integration, and enterprise integrations. Has hands-on experience operating workflow processing services with Kafka-style event-driven patterns, idempotency, exponential backoff retries, dead-letter queues, and strong observability, plus API design with OpenAPI/Swagger and token-based auth.

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KS

Executive Technology Leader specializing in SaaS platforms, AWS microservices, and security

Falls Church, VA21y exp
Sandline GlobalIndiana University Maurer School of Law

Platform/infra engineer with deep Kubernetes (EKS) and VMware vSphere experience who has led a monolith-to-microservices transition for a credit lending decision platform. Built GitOps-driven Terraform delivery with strong governance, and used LaunchDarkly-based progressive rollouts plus Datadog observability to safely ship multiple times per day (reported ~6x throughput and 1/3 the bugfix tickets vs legacy). Also operates hybrid on-prem/AWS networking (firewall + Transit Gateway, BGP) and has handled high-stakes datacenter migrations (100TB Storage vMotion) under Sev1 conditions.

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NN

Mid-Level Software Engineer specializing in cloud-native microservices and FinTech platforms

USA5y exp
PNCArizona State University

Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.

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CG

Chandana G

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and AI-powered platforms

5y exp
PNCUniversity of Cincinnati

Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.

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Meet Vyas - Mid-level Software Engineer specializing in full-stack systems and AI applications in Tempe, AZ

Meet Vyas

Screened

Mid-level Software Engineer specializing in full-stack systems and AI applications

Tempe, AZ3y exp
Arizona State UniversityArizona State University

Software engineer with 3 years at Gap Inc. who led a major modernization from monolith/legacy frontend to a React and Spring Boot microservices architecture, delivering 25% cost savings, 30% faster releases, and 50% performance gains. Also built a 0→1 startup product, MealShare AI, using managed cloud services to rapidly launch a real-time food redistribution platform.

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Amit Verma - Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices in Birmingham, AL

Amit Verma

Screened

Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices

Birmingham, AL6y exp
CenteneUniversity of Alabama at Birmingham

Developer who actively integrates AI tools like Copilot, ChatGPT, and Cursor into day-to-day coding, testing, debugging, and framework learning to improve delivery speed. They also organize multi-agent workflows across code generation, review, testing, and documentation while retaining final ownership of quality and architecture decisions.

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RM

Mid-level Backend Engineer specializing in distributed systems and FinTech AI platforms

Syracuse, NY4y exp
Morgan StanleySyracuse University

Engineer at Morgan Stanley working on AI-enabled trade surveillance and compliance routing systems. They’ve built and monitored chained agent workflows for retrieval, risk classification, and alert routing, with strong emphasis on auditability, hallucination prevention, and regulated-environment reliability.

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MJ

Meet Jhaveri

Screened

Mid-level Data Scientist specializing in AI/ML, LLMs, and healthcare analytics

California, USA3y exp
Johnson & JohnsonCalifornia State University, Fullerton

Built and shipped enterprise AI products including a conversational SQL analytics platform and a production RAG system at Johnson & Johnson. Combines full-stack engineering with LLM systems expertise, and has delivered measurable impact at scale, including 48% lower retrieval latency and 37% better response relevance across 12M+ records.

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AS

Allen Skyler

Screened

Senior Software Engineer specializing in SaaS, distributed systems, and AI workflows

Newcastle, OK10y exp
SynapOneCameron University

Full-stack engineer with recent startup-style experience at SynapOne building enterprise B2B SaaS platforms for compliance and operational review workflows. Stands out for turning ambiguous business problems into production systems, including AI-assisted workflow automation, scalable Go/Python microservices, React/TypeScript interfaces, and PostgreSQL/Elasticsearch-backed platforms used daily by customers.

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