Pre-screened and vetted.
Senior Data Scientist specializing in GenAI, LLMs, and Analytics Engineering
Mid-Level Software Engineer specializing in backend microservices and cloud automation
Junior Software Engineer specializing in SaaS analytics and reporting
Senior XR Developer specializing in augmented reality for public safety
Mid-level Full-Stack Developer specializing in cloud-native FinTech and Healthcare IT
Mid-level Software Engineer specializing in financial dashboards and internal tools
Mid-level Front End Software Engineer specializing in React and TypeScript dashboards
Senior Software Engineer specializing in AI-powered backend and data platforms
Mid-level Software Engineer specializing in distributed systems and data platforms
Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Principal Enterprise Architect specializing in cloud modernization for financial services
Mid-level Platform Engineer specializing in cloud infrastructure and DevOps
Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization
“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”
Senior XR & Unity Developer specializing in immersive games and interactive experiences
“Unity developer with hands-on VR experience focused on “game feel,” enhancing immersion by adding touch-reactive visuals, custom haptics, and spatialized binaural interaction audio in collaboration with an audio team. Has recent multiplayer experience using Unity Netcode and uses AI tools for code review and rapid upskilling (e.g., reactive programming). Seeking a fully remote role with compensation around €60–70k.”
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”