Pre-screened and vetted.
Senior QA Analyst specializing in manual/automation testing for Guidewire, Salesforce, and E2E systems
Senior QA Analyst specializing in test automation, API testing, and ETL/data validation
Mid-level SDET/Software Engineer specializing in test automation and CI/CD
“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”
Senior Full-Stack Engineer specializing in scalable web and cloud systems
“JavaScript engineer who built a Michelin-specific headless CMS forms platform based on apostrophe-forms, powering forms across 400+ Michelin websites. Designed an extensible, SOLID-aligned modular field architecture with a shared design system, cutting hundreds of lines of per-project code across 10+ implementations while driving cross-device compatibility and performance (BrowserStack, Lighthouse, SSR).”
Mid-level Software Engineer specializing in Unity XR/VR training simulations
“Unity/C# VR developer who owned a next-gen replay/review system end-to-end, improving determinism so recorded actions (e.g., shots) replayed consistently. Also built a Jenkins-triggered GameDriver-based VR QA automation suite that ran nightly builds and cut manual QA effort by ~75%, and contributed to Photon PUN multiuser mode with hands-on network debugging.”
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”
Mid-level Robotics Software Developer specializing in ROS and autonomous mobile robots
“System-level robotics software engineer with production experience in both ROS 1 and ROS 2 who served as technical owner for an initial ROS1→ROS2 migration, including catkin→ament/colcon and refactoring core communication nodes. Strong in hardware-validated integration work—debugged intermittent message drops by tuning ROS 2 QoS for embedded firmware interfaces and stabilized real-time navigation behavior through timing/telemetry analysis and cross-team coordination.”
Entry-level Software Engineer specializing in backend, cloud, and data systems
“Built across cloud infrastructure, AI-powered product workflows, and backend data reliability in environments including Northeastern, Knead, and Grafx. Particularly compelling for roles needing someone who can both ship AWS-based systems end-to-end and debug messy production issues involving caching, APIs, and data pipelines.”
Mid-level Software Engineer specializing in AdTech and AI-enabled web engineering
“Software engineer at American Express who built a zero-to-one first-party cookie tracking architecture as the industry moved away from third-party cookies, combining frontend, backend, CI/CD, and AI-assisted QA automation. Particularly strong in developer tooling and workflow automation, with measurable impact including 70% less manual QA, 8+ critical errors caught pre-production, and PR cycles reduced from 48 hours to under 8.”
Executive technology leader specializing in FinTech, identity, and AI-native platforms
“Current CTO of Idmission leading a 150+ person engineering organization, with deep experience scaling delivery, CI/CD, and architecture modernization. Combines executive leadership with hands-on technical depth across microservices, Kubernetes, and AI systems, including a RAG support platform that reduced resolution time by 50% and passive liveness technology that improved client acquisition by 20%.”
Senior QA Automation Engineer specializing in UI/API test automation and CI/CD
“QA professional with 15+ years testing a variety of applications (not games), experienced partnering with developers/designers/product owners across the feature lifecycle. Brings a disciplined, methodology-driven approach to test design, regression coverage, and high-quality defect reporting using tools like Jira, TestRail, qTest, and HPQC; targeting ~100K base (flexible based on total package).”
Senior Full-Stack Software Developer specializing in web applications and test automation
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-Level Full-Stack Software Developer specializing in enterprise web applications
Senior Test Automation Engineer specializing in QA automation and accessibility testing
Mid-level .NET Developer specializing in cloud-native web applications on Azure
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in .NET, Angular, Azure, and AI automation
Senior QA Automation Lead specializing in Selenium, Java, BDD, and API testing
Executive FinTech & Energy Leader specializing in lending, portfolio ops, and EV/solar finance
“Entrepreneur in debt settlement and consumer lending who expects future funding needs and is oriented toward PE/VC rather than debt until revenues stabilize. Previously left Mosaic to found and scale a process improvement/performance management/tech stack consulting business, using conference speaking and relationship-based selling to win clients and then hiring staff/contractors to expand delivery.”
Senior QA Engineer specializing in test automation and API/E2E testing
“QA automation engineer with 7+ years across finance/healthcare/utility/services, specializing in Selenium + Cucumber and building automation frameworks. Has tested machine-learning-powered claims prediction features and uncovered complex timing/concurrency failures in subscription payments by simulating delayed webhooks and parallel execution, then driving production fixes end-to-end using disciplined Jira workflows.”