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Vetted Microservices Architecture Professionals

Pre-screened and vetted.

NS

Mid-Level Full-Stack Software Engineer specializing in Healthcare and E-commerce

Austin, TX5y exp
CVS HealthUniversity of North Texas
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RR

Mid-level Software Engineer specializing in backend microservices and ML inference

Long Beach, CA5y exp
PPGCalifornia State University, Long Beach
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SW

Senior Software Engineer specializing in distributed backend systems

Upper Darby, PA14y exp
OptymDelaware County Community College
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MP

Mid-level Generative AI Engineer specializing in LLM orchestration, RAG, and agentic workflows

San Francisco, CA3y exp
Tenet HealthcareUniversity of South Florida
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ES

Junior Platform Engineer specializing in VMware cloud automation and SDDC infrastructure

Palo Alto, CA2y exp
VMwareSan José State University
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RB

Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud-native microservices

Remote, USA6y exp
Dell TechnologiesCalifornia State University
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J`

Junior Software Engineer specializing in autonomous vehicle perception and MLOps

Berkeley, CA3y exp
AI Racing Tech - UC BerkeleyUC Berkeley
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TV

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

San Francisco, CA5y exp
CiscoKennesaw State University
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SV

Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms

Remote, USA5y exp
eBayUniversity of Maryland, Baltimore County
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UC

Mid-level Full-Stack Python Developer specializing in FinTech and real-time payments

TX, USA3y exp
State StreetGeorge Mason University
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SM

Mid-Level Software Engineer specializing in full-stack, data engineering, and ML

Irvine, CA3y exp
PDS HealthUC Irvine
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VK

Mid-level Customer Success Engineer specializing in application security and FinTech integrations

Brooklyn, NY5y exp
ION GroupUniversity of South Florida
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MR

Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech

San Francisco, CA4y exp
IntuitOklahoma Christian University
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DS

Mid-level Full-Stack Engineer specializing in AI-native cloud systems

4y exp
Johnson & JohnsonUniversity at Buffalo
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DS

Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines

Dallas, TX9y exp
DeloitteUniversity of Texas at Arlington
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KT

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

Florida, USA4y exp
JPMorgan Chase
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KP

KrishnaVarshith Pabbisetty

Screened ReferencesStrong rec.

Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI

Bay Area, CA4y exp
TemenosSan José State University

Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.

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TH

THAMES HARRISON

Screened ReferencesStrong rec.

Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML

Gainesville, FL17y exp
Cornerstone OnDemandUniversity of Florida

Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.

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SH

Sai Haritha Sardena

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML

Remote, USA7y exp
Tylmen TechNorthern Arizona University

Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.

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