Builds and maintains distributed AI infrastructure for model training, inference, and data pipelines. Requires experience in GenAI systems, distributed computing, Python/Go, and scaling AI workloads on GPUs/cloud.
As a Member of Technical Staff on AI Infrastructure, you will build and maintain the foundational systems and distributed infrastructure that power AI model post training, inference, and data pipelines. You will collaborate with engineering and research teams to ensure performance, scalability, and reliability of critical AI systems.
Compensation: Base salary $256,000 - $276,000 plus equity.
Lead AI reliability engineering for Postman's API and agentic systems, building monitoring, observability, and automation for high availability. Requires strong SRE/DevOps background in large-scale AI infrastructure and cloud platforms.
As a Staff Engineer, you will build and scale engineering productivity and AI quality systems, focusing on CI/CD gates, integration test harnesses, and agent instructions. This role is critical for enabling a small engineering team to operate with high leverage by encoding architectural taste into mechanical rules.
Lead EarnIn's AI-first reliability engineering strategy. Define SLOs/SLIs, build AI agents for incident response and on-call automation, and partner with engineering teams to embed AI-assisted operations across production systems on AWS.
Designs and implements large-scale public cloud infrastructure, builds complex distributed systems and microservices. Requires 10+ years experience, expert skills in performance tuning, concurrency, multiple cloud providers like AWS/GCP/Azure, and graduate degree or equivalent.