Pre-screened and vetted.
Senior Quality Engineer specializing in mobile and web application testing
Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems
Senior QA/Test Engineer specializing in cross-platform testing and identity, automotive, and consumer apps
Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration
Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems
Senior QA / Quality Engineering Lead specializing in mobile, AR, and monetization flows
Senior Full-Stack Engineer specializing in cloud-native microservices and AI/LLM integrations
Senior QA Engineer specializing in AR/VR, 3D pipelines, and performance testing
Mid-Level Full-Stack Software Engineer specializing in AWS and automation
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Senior Software Test Engineer specializing in QA automation and API/E2E testing
Senior Full-Stack Engineer specializing in cloud-native enterprise and AI platforms
Senior Front-End/Full-Stack Engineer specializing in cloud-native SaaS and enterprise web apps
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Staff Frontend Engineer specializing in enterprise SaaS, analytics, and AI-powered products
“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”
Mid-level Software Engineer specializing in FinTech full-stack development
“Frontend-leaning full-stack engineer with experience spanning early-stage startup work at Rundoo and a higher-trust fintech environment at Wealthfront. They’ve owned complex permission-based household/account experiences end-to-end in Next.js/React, with strong instincts around data flow, UI correctness, performance, and production pragmatism.”
Intern Software Engineer specializing in developer productivity and data/AI systems
“Internship experience at Intuit building an LLM-grounded QA system for internal microservice data across 100+ microservices, using a graph database approach (evaluated Neo4j and selected AWS Neptune for production alignment). Also has UC Berkeley research experience (including work with Prof. Dawn Song / Berkeley Eye Research Lab) and cross-functional collaboration with bioinformatics/biology teams to deploy software systems on research servers.”
Junior Software Engineer specializing in full-stack web and data systems
“Series C (Sigma Computing) full-stack engineer/intern who shipped production features across React/TypeScript and GraphQL, including a Recents/workbook activity reliability improvement that handled unsaved “exploration” events via deterministic backend updates. Emphasizes production quality through Jest/Cypress coverage and feature-flagged staged rollouts, and is recognized for UX-focused improvements (fast, accurate filtering at scale) and proactive cross-functional ownership.”
Junior Software Engineer specializing in AI and healthcare automation
“Seed-stage startup engineer owning features end-to-end across full-stack development, DevOps, rollout, and post-launch maintenance. Built data ingestion and evaluation workflows for an LLM data-quality platform using Next.js, MongoDB, Postgres, and GCP Pub/Sub, with a strong focus on reliability, caching, and pragmatic performance improvements.”
Staff Software Engineer specializing in cloud platforms for healthcare and financial workflows
“Backend/data engineer with Optum healthcare claims domain experience building high-reliability Python microservices (FastAPI/Kafka/Postgres) and AWS data platforms (EKS, Glue, Redshift). Demonstrated strong production ownership: fixed duplicate Kafka processing via transactional outbox/idempotency, scaled to millions of daily events, and delivered major SQL performance gains (40+ min to <5 min, ~60% CPU reduction). Seeking remote-only work; targets $130k base.”