Pre-screened and vetted.
Senior DevSecOps Engineer specializing in cloud automation, CI/CD, and compliance
Junior Software Engineer specializing in Generative AI and Cloud Microservices
Senior AWS DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Senior Software Engineer specializing in backend, AWS cloud infrastructure, and data pipelines
Mid-level Embedded/Firmware Engineer specializing in RTOS and low-power IoT systems
Intern Security Engineer specializing in AppSec, Cloud Security, and Purple Team detection
Mid-Level Software Developer specializing in AI/ML and cloud-native microservices
Senior Full-Stack Java Developer specializing in cloud-native microservices for FinTech
Mid-Level Software Engineer specializing in ML and Generative AI applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level Site Reliability & Support Engineer specializing in Ruby on Rails platforms
Mid-level Systems/Cloud Engineer specializing in multi-cloud Linux infrastructure and pre-sales
Mid-level DevOps/Cloud Engineer specializing in CI/CD, IaC, and Kubernetes on AWS/Azure
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Mid-Level Full-Stack Software Developer specializing in modern web apps
“Product-focused full-stack builder who has shipped and operated multiple production apps from scratch, including an e-commerce bakery delivery scheduler (with concurrency controls and timezone handling) and a real-time passenger music-request system for Lyft rides that hit and resolved YouTube API rate-limit scaling issues via debouncing and caching. Strong in React+TypeScript and Node.js/TypeScript backends, with solid PostgreSQL/PostGIS data modeling and performance tuning.”
Mid-level Web Developer specializing in React and TypeScript
“Frontend developer (self-described intermediate/junior+) who built and released an end-to-end portfolio game (“Dot and Boxes”) in ~3 weeks using React state + Redux, including an in-app guided tour. In a prior role, worked on a full UI + flow redesign for a long booking workflow, focusing on reusable components and integrating Redux while dealing with complex/duplicated state and limited access to external designers via a PM intermediary.”
Entry-level Machine Learning Engineer specializing in computer vision and systems
“ML-focused builder who has shipped an end-to-end income-class prediction product: built the data pipeline, trained models, deployed via Streamlit with a live UI, and tracked success via accuracy (84%), adoption, and latency. Demonstrates strong practical MLOps instincts (Docker/Streamlit Cloud, logging/monitoring, caching) and data engineering reliability patterns (schema checks, idempotency, retries, backfills) while iterating quickly in ambiguous, solo-project environments.”
Junior Computer Science student specializing in robotics, ML, and quantum computing research
“Hands-on engineer who has taken an LSTM Bitcoin forecasting model from notebook to a production-grade, monitored API (Docker/Gunicorn/Nginx, Prometheus/Grafana, blue-green rollback) delivering 99.9% availability and ~110–120ms p95 latency. Also built an RFID self-checkout prototype spanning Raspberry Pi + firmware + networking, using deep instrumentation to eliminate double-charges/timeouts (<0.1%) and reduce checkout time ~20% through idempotency, debounce logic, and hardware fixes.”