Vetted Test Automation Professionals

Pre-screened and vetted.

DP

Mid-level Software Engineer specializing in backend APIs and AWS cloud infrastructure

IL, USA4y exp
GoogleDePaul University
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MS

Junior Full-Stack Software Engineer specializing in React, APIs, and Industrial IoT data platforms

Pittsburgh, PA2y exp
Manufacturing Futures InstituteCarnegie Mellon University
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CF

Senior QA Engineer specializing in AR/VR, 3D pipelines, and performance testing

San Jose, CA17y exp
AdobeCogswell Polytechnical College
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JB

Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration

Austin, TX11y exp
PuzzleHRUniversity of Bristol
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SO

Mid-level SDET specializing in embedded firmware validation and test automation

Cupertino, CA5y exp
AppleUniversity of Cincinnati
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DH

Senior Full-Stack Engineer specializing in microservices, data pipelines, and AI in FinTech

Irvine, CA9y exp
FlyFinGeorgia Tech
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NA

Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems

Dallas, TX5y exp
PerplexityUniversity of North Texas
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PJ

Director-level Software Architect specializing in cloud observability and network monitoring

San Jose, CA27y exp
IBMIndian Statistical Institute
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VM

Senior Software Test Engineer specializing in QA automation and API/E2E testing

San Francisco, CA9y exp
DexcomUC Berkeley
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RG

Mid-level Machine Learning Engineer specializing in fraud detection and recommendations

Bay Area, CA6y exp
StripeBinghamton University
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DE

Senior QA Engineer specializing in iOS/mobile test automation

Santa Clara, CA21y exp
FitbitNortheastern University
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LA

Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration

Portland, OR14y exp
BrazeGeorgia Tech
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KS

Staff Product Manager specializing in FinTech and enterprise SaaS platforms

Santa Clara, California9y exp
BILLRochester Institute of Technology
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RE

Robert Elwell

Screened

Executive Engineering Leader specializing in cloud platforms, DevOps, and security

18y exp
MacStadiumUniversity of Texas at Austin

Senior engineering/CTO-level leader with hands-on delivery of serverless, event-driven cloud governance platforms (deployed across multiple GE business units) and experience building adaptable usage-based billing at UserTesting. Has advised startups (including CaseText during YC) and supported fundraising and acquisition due diligence, including investor materials for a smart cooler custody management system presented to BARDA during Operation Warp Speed.

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RajaSekhar Divakaruni - Director-level Engineering Leader specializing in Payments and Financial Services in Edison, New Jersey

Director-level Engineering Leader specializing in Payments and Financial Services

Edison, New Jersey21y exp
ZelleIIT Madras

Senior Director-level engineering leader from Zelle who built a multi-year cloud and use-case expansion roadmap (e.g., SMB and brokerage funding) aligned to an aggressive growth target (from $1.2T to $5T in 5 years). Experienced scaling an engineering org from ~25–30 people into domain-driven pods and leading audit/compliance remediation (OCC, SOC 2, PCI) through security and infrastructure reengineering, including multi-region/multi-zone architecture.

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Sourabh Jain - Director of Software Engineering specializing in enterprise Data, ML & AI platforms in Bay Area, CA

Sourabh Jain

Screened

Director of Software Engineering specializing in enterprise Data, ML & AI platforms

Bay Area, CA23y exp
RSA SecurityShri G. S. Institute of Technology and Science

Former Walmart Director of Software Engineering who left in March 2025 to build products for clients. Recently delivered an LLM/RAG-based UNSPSC classification solution for an MRO client using a multi-stage retrieval + web search + prompt-engineering workflow, and has led large-scale retail forecasting initiatives and high-severity cloud-migration incidents end-to-end.

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MC

Intern Firmware Validation & Systems Test Engineer specializing in embedded and full-stack tooling

Palo Alto, CA1y exp
TeslaOregon State University

Safety-critical firmware validation engineer with Tesla autonomous vehicle experience who built Python-based HIL/SIL automation and dashboards, cutting regression time by 30% while maintaining an auditable risk-tradeoff process with safety and engineering teams. Also deployed an inventory management system across 8+ R&D teams in 3 countries at FUJIFILM, troubleshooting a major cross-site sync issue to a timezone root cause with strong documentation and interim mitigations.

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TW

Tianyi Wang

Screened

Entry-Level Backend/Cloud Engineer specializing in distributed systems and AI platforms

Seattle, WA1y exp
AmazonUniversity of Michigan

Full-stack engineer with deep serverless AWS experience who built VidToNote, an AI video analysis platform, end-to-end using Next.js App Router/TypeScript and an event-driven pipeline (API Gateway, Lambda, DynamoDB, S3, Step Functions, SQS). Strong on production reliability and observability (CloudWatch, X-Ray, structured logging), plus data/analytics work in Postgres with measurable query optimizations and durable LLM evaluation workflows. Amazon background; integrated 22 AWS services and completed AWS Solutions Architect Professional certification within a month.

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SB

Mid-level Backend & Reliability Engineer specializing in AWS, Kubernetes, and automation

New Mexico, US5y exp
MetaUniversity of North Carolina at Charlotte

Meta engineer focused on reliability/operations tooling who built a unified real-time health dashboard and scalable telemetry pipelines (AWS + Datadog) for thousands of devices. Also shipped an internal LLM-powered knowledge assistant using RAG over wikis/runbooks/logs with strong guardrails and a rigorous eval loop that drove measurable accuracy improvements via automated doc ingestion and embedding updates.

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Jehanzeb Khan - Director-level Engineering Manager specializing in large-scale data and compute platforms in Sunnyvale, CA

Jehanzeb Khan

Screened

Director-level Engineering Manager specializing in large-scale data and compute platforms

Sunnyvale, CA20y exp
AmazonInstitute of Business Administration

Platform and distributed-systems leader (player-coach) who owned architecture and reliability for an Amazon analytics/data platform serving ~100K internal users at exabyte scale. Built an ML-driven “Lakeflow” optimization layer that cut pipeline completion times ~20–25% and reduced compute waste >15%, and led major incident response/redesign efforts (e.g., deletion storm) with strong rollout/observability/rollback practices.

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