Pre-screened and vetted.
Senior Frontend/Mobile Engineer specializing in React and React Native
Entry-Level Full-Stack Developer specializing in applied machine learning
Mid-level AI/ML Engineer specializing in predictive modeling and NLP for healthcare and FinTech
Senior Full-Stack Software Engineer specializing in Ruby on Rails and React
Mid-Level Full-Stack Engineer specializing in AWS, data pipelines, and SaaS analytics
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Mid-Level Software Developer specializing in full-stack and microservices development
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Executive technology leader and Fractional CTO specializing in software architecture and AI automation
Mid-level Full-Stack Engineer specializing in web applications and cloud systems
“Software developer at Indiana University who built a phishing training platform using TypeScript/React, Node, GraphQL, and DynamoDB, including an admin tool to monitor student completion and send automated reminder emails. Also created TechRent, an IU-only electronics rental marketplace concept focused on improving security by restricting access to university students.”
Senior Technical Designer / Gameplay Programmer specializing in Unity, Unreal Engine, and XR
“Unity/C# game developer with experience shipping F2P mobile systems, including loot/reward mechanics backed by probability/rarity/economy design and validated via unit tests, code reviews, and analytics instrumentation. Has implemented server-authoritative multiplayer state sync with matchmaking/RoomID flow, network variables/RPCs, and robust disconnect + reconnection state recovery.”
Executive CTO specializing in SaaS product and engineering leadership
“Engineering/product leader in early-stage environments who has repeatedly driven major pivots and scaling efforts: pandemic-era refactor at NameCoach and multi-community expansion at Nolodex (now ~20 communities). Comfortable going from executive roadmap/stakeholder alignment to hands-on implementation (e.g., webhooks), and has led architecture shifts (monolith-to-distributed, Heroku-to-AWS) while managing outsourced/offshore teams through organizational friction.”
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud
Mid-level Backend Software Engineer specializing in distributed systems and cloud-native microservices
Senior Full-Stack Software Engineer specializing in Python and scalable API-driven systems
Director-level Engineering Leader specializing in AI transformation and platform modernization
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack TypeScript engineer who has owned a real-time workflow/communication platform end-to-end in production (Node/TS + React, Postgres/Redis, Kafka, Docker/CI/CD). Demonstrates strong distributed-systems pragmatism—designing for failure with retries, DLQs, idempotency keys, and atomic writes—plus operational practices like structured logging, monitoring, and zero-downtime deployments.”
Mid-Level .NET Full-Stack Developer specializing in cloud-native web applications
“JavaScript engineer with open-source library contribution experience, including diagnosing a validation-related bug, shipping a tested fix, and improving documentation with practical examples and edge-case guidance to reduce repeated community questions. Emphasizes profiling-driven performance work, small safe refactors, and proactive ownership in fast-moving, unstructured teams.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”