Pre-screened and vetted.
Software Engineering Manager specializing in FDA-compliant medical device software
Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Executive Cybersecurity & Risk Management Leader specializing in FedRAMP, CMMC, and cloud security
Senior Customer Success Manager specializing in Technical B2B SaaS
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Executive IT & Cybersecurity Leader specializing in cloud, infrastructure, and enterprise risk
Senior Software Test Engineer specializing in automation, API, performance, and accessibility testing
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Senior Technical Support & Sales Enablement leader specializing in cloud security and enterprise infrastructure
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Senior AI Python Engineer specializing in Generative AI and MLOps
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Mid-level Full-Stack Developer specializing in microservices and event-driven systems
“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”
Mid-Level Software Engineer specializing in .NET, Azure, and ML automation
“JavaScript/React/TypeScript engineer with hands-on open-source experience improving a hooks utility library—fixed a reported async race condition that reduced unexpected re-renders and added a debounced callback hook that became widely used. Brings a production-minded approach to performance and abstractions (APM/metrics-driven, DB/caching focus) with strong testing, documentation, and community support practices.”
Technology Executive / Engineering Director specializing in AI-driven platform transformation
“Built a 0-to-1 iOS mobile gardening application that helps users plan, track, and harvest crops with pest control guidance, weather, and climate-zone-based planting date recommendations. Demonstrated strong customer discovery and MVP-first product execution, including a major data challenge: compiling US climate zone data for every ZIP code from widely dispersed public sources into an app-ready database.”
Mid-level Python Developer specializing in APIs, data engineering, and cloud-native systems
“Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.”
Mid-level AI/ML Engineer specializing in healthcare, risk modeling, and MLOps
“Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.”
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”