Vetted Behavior-Driven Development (BDD) Professionals

Pre-screened and vetted.

SM

Director-level QA leader specializing in test automation and Agile quality strategy

NYC, New York16y exp
AdvisrTexas A&M University
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Michael Kaufman - Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms in Seattle, WA

Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms

Seattle, WA5y exp
AmazonUC San Diego

iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.

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BhanuPrasad Pothagani - Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems in Bay Area, CA

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
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SB

Senior Full-Stack Engineer specializing in cloud-native .NET microservices

Austin, TX10y exp
SamsungUniversity of New Mexico
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IA

Senior Full-Stack Engineer specializing in React, Node.js, and cloud-native web platforms

Austin, TX5y exp
AppleSouthern Arkansas University
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VN

Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines

CA, USA6y exp
StripeSoutheast Missouri State University
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VS

Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE

Bay Area, CA28y exp
Electronic Arts
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AA

Mid-level Software Engineer specializing in distributed systems and FinTech infrastructure

New York, NY
BloombergNYU

Early-career software engineer who owns revenue-critical invoice processing and internal ops tooling end-to-end. Has built TypeScript/React systems backed by MongoDB and Temporal, and designed scalable SQS-based onboarding workflows with FIFO/DLQ monitoring. Notably redesigned an Authzed SpiceDB authorization model, shrinking a 500+ line schema to ~20 lines while meeting sub-100ms p95 latency.

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Mark Khrabry - Senior QA Automation Engineer specializing in scalable test frameworks in Austin, TX

Senior QA Automation Engineer specializing in scalable test frameworks

Austin, TX13y exp
AppleBelarusian State University of Informatics and Radioelectronics
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SV

Mid-Level Software Engineer specializing in FinTech payments and risk platforms

CA, USA6y exp
StripeUniversity of Memphis
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KJ

Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems

CA, USA5y exp
StripeWebster University
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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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SE

Staff AI & Data Engineer specializing in LLM systems and real-time data platforms

Salt Lake City, UT10y exp
Jump AILouisiana Tech University
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JB

Senior Software Engineer specializing in cloud-native systems and Generative AI

Miami, FL14y exp
MicrosoftUniversity of Florida
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RC

Senior Front-End/Full-Stack Engineer specializing in cloud-native SaaS and enterprise web apps

11y exp
NorthStandard
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NB

Executive Product & Technical Services Leader specializing in AI, Crypto, and FinTech

San Francisco, CA17y exp
Blink AI
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KARTHIKBABU VADLOORI - Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices in San Francisco, CA

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

San Francisco, CA5y exp
MetaUniversity of Texas at Arlington

Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).

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PT

Mid-level Software Engineer specializing in full-stack backend systems and FinTech

Austin, TX4y exp
IntuitUniversity of Central Missouri

Engineer who uses AI thoughtfully as a productivity multiplier rather than a crutch, with hands-on experience applying agent-based workflows to coding, debugging, documentation, and testing. Particularly strong in rapid backend and data-processing development, with a clear emphasis on validation, architecture, and scalability.

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AT

Antoine Tan

Screened

Senior Full-Stack Software Engineer specializing in workflow automation and healthcare AI

Remote12y exp
Rad AIUniversity of Florida

Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.

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