Vetted Spring Framework Professionals

Pre-screened and vetted.

Pranav Hariharane - Mid-Level Backend Engineer specializing in REST APIs and AWS in SF Bay Area, CA

Mid-Level Backend Engineer specializing in REST APIs and AWS

SF Bay Area, CA3y exp
AmazonColumbia University

Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.

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Kunj Amrutbhai Patel - Mid-level Software Engineer specializing in distributed backend systems on AWS in Seattle, WA

Mid-level Software Engineer specializing in distributed backend systems on AWS

Seattle, WA4y exp
AmazonTrine University

Built production systems in the AWS ecosystem, including an internal AI assistant for diagnosing account transfer and permissions issues and an end-to-end account transfer workflow used by enterprise customers. Stands out for combining LLM/RAG design with strong distributed systems reliability practices, emphasizing guardrails, fallbacks, and operational trust in high-stakes workflows.

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Aniket Singhal - Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms in Seattle, WA

Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms

Seattle, WA8y exp
AmazonBirla Institute of Technology, Mesra

Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.

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MS

Mid-level Software Development Engineer specializing in cloud platforms, data engineering, and LLM apps

Dublin, Ireland3y exp
AmazonGuru Gobind Singh Indraprastha University
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SV

Senior Full-Stack Engineer specializing in Next.js, React, and TypeScript

Dallas, TX11y exp
WalmartKent State University
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YL

Mid-Level Software Engineer specializing in AWS cloud-native distributed systems

Arlington, VA3y exp
AmazonNYU
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Yu Li - Mid-Level Software Development Engineer specializing in cloud microservices and retail systems in Reston, VA

Mid-Level Software Development Engineer specializing in cloud microservices and retail systems

Reston, VA5y exp
WalmartUniversity of Colorado Boulder
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EW

Entry-Level Software Development Engineer specializing in AWS serverless and distributed systems

Sunnyvale, CA1y exp
AmazonUSC
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BG

Executive technology leader specializing in digital transformation, payments, and AI

Plano, TX25y exp
JPMorgan ChaseUT Austin
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SU

Mid-level Full-Stack Developer specializing in React, Spring Boot, and AWS

6y exp
AmazonUniversity of North Texas
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MS

Director-level Software Development Manager specializing in AWS and GenAI platforms

Seattle, WA17y exp
AmazonUniversity of Washington
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EG

Intern Software Engineer specializing in cloud, security, and systems programming

New York City, NY2y exp
AmazonNYU
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HR

Junior Software Engineer specializing in distributed systems and streaming platforms

Los Angeles, CA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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SS

Intern Full-Stack Software Engineer specializing in distributed systems and cloud services

1y exp
AmazonDuke University
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FA

Executive engineering leader specializing in cloud platforms, APIs, and FinTech

San Francisco, CA20y exp
AmazonDayananda Sagar College of Engineering
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PL

Phil Lerner

Screened ReferencesStrong rec.

Executive technology leader specializing in cybersecurity, healthcare IT, and AI

Melville, NY18y exp
Imagini HealthBoston University

Seasoned global CTO and executive leader with 20+ years of experience, including a $389M non-founder exit to a Fortune 10 acquirer. Now building a pre-seed AI-driven diagnostic imaging platform for pets with web and mobile products, beta customers, and a patent-pending solution aimed at saving pet lives.

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DJ

Dimple Joseph

Screened

Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization

Redwood Shores, CA25y exp
OracleThe University of Texas at Arlington

Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.

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Lawrence Cheng - Mid-Level Backend Software Engineer specializing in FinTech platforms in San Francisco Bay Area, CA

Mid-Level Backend Software Engineer specializing in FinTech platforms

San Francisco Bay Area, CA6y exp
MyVestUC Berkeley

Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.

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AC

Aesha Choksi

Screened

Director-level Engineering Leader specializing in Cloud Security and Data Platforms

San Francisco, CA20y exp
SysdigCalifornia State University, East Bay

Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.

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KS

Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS

Seattle, WA7y exp
BrandhubifyUSC
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