Pre-screened and vetted.
Senior Software Engineer specializing in backend APIs and enterprise platforms
Intern/Entry Software Engineer specializing in AI document intelligence and web development
VP of Engineering specializing in platform, microservices, and consumer marketplaces
Senior Software Engineer specializing in front-end cloud and web platforms
Mid-level Full-Stack Software Engineer specializing in AI platforms and FinTech
Engineering Manager specializing in cloud-native platforms across AdTech and FinTech
Mid-level Solution Architect specializing in government and FinTech systems
Mid-level Software Engineer specializing in frontend web applications
Mid-level Full-Stack Engineer specializing in cloud-native web applications
Executive Full-Stack Engineer specializing in marketplace, healthcare, and AI products
Principal Product Designer specializing in AI-enabled UX and design systems
Senior Software Developer specializing in Python, AWS, and Big Data
Junior Full-Stack ML Engineer specializing in healthcare and AI systems
Mid-level Software Engineer specializing in financial dashboards and internal tools
Director-level Engineering & Program Leader specializing in AI product platforms
“Technical Program Manager and one of three internal "founders" of HP’s Hardware-as-a-Service home printer subscription initiative, spanning DTC shipping, simplified setup, ink replenishment, and warranty coverage. Led roadmap definition/execution, scaled delivery rapidly to 15+ scrum teams (including vendors) with SAFe-like coordination and shared engineering standards, and drove key architecture trade-offs (building an interim subscription management service) to accelerate time-to-market by about a year.”
Mid-level Full-Stack Software Engineer specializing in cloud and data platforms
“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”
Director-level Creative Technologist specializing in front-end interactive experiences
“Design-technologist with both UX and front-end development depth, spanning high-impact brand launches and regulated pharma sales tools. Led the experience direction and technical implementation support for DuPont's Kevlar product site—featuring Three.js, AEM, and advanced motion design—which generated strong lead capture and won an Effie, and also improved Eli Lilly IVA delivery by building a grunt.js workflow that reduced update cycles from a week to just a few days.”
Mid-level Full-Stack Software Engineer specializing in backend and cloud applications
“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”
Director of Marketing Technologies specializing in scalable web platforms for gaming
“Player-coach engineering leader focused on consumer-grade video/multimodal products and high-reliability identity/auth experiences. Led design and implementation of multi-step mobile login/MFA flows with telemetry-driven funnel improvements, shipped Node services and security fixes, and owned auth incidents end-to-end using RUM and step-level instrumentation. Introduced feature-flagged delivery and targeted review/testing practices to speed iteration ~20–30% while keeping login stability high.”
Executive Engineering Leader & Technical Founder specializing in AI automation platforms
“Founder/CTO who built and shipped a consumer subscription-bundling platform end-to-end (architecture, implementation, testing) and scaled it to thousands of customers and major partners. Previously led a major reliability overhaul at Chan Zuckerberg Initiative for a Google-Docs-like ed-tech product—boosted observability, introduced incident management, and migrated to a Docker-based scalable architecture. Heavy user of AI tools (Cursor/Claude) for development, testing, and code review, with a strong bias toward lightweight, fast-moving execution.”
Mid-level AI Software Engineer specializing in LLMs and FinTech data systems
“Backend/AI systems engineer focused on productionizing agentic document-processing workflows for large financial PDFs. They describe owning deployments end-to-end, combining Python, Redis, LLM function calling, RAG/ReAct-style orchestration, and strong reliability practices to deliver 80% faster processing, reduce parsing errors from 12% to ~1%, and sustain 99.9% uptime in high-concurrency environments.”