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.
Postman is seeking an experienced AI Systems Reliability Engineer to help define, build, and maintain the infrastructure and processes that ensure the reliability, scalability, and performance of Postman’s AI-powered API and agentic systems in production. This role focuses on monitoring, availability, incident response, and automation to support AI services and tools trusted by millions of developers globally.
Bonus Skills and Experiences
Compensation The reasonably estimated base salary for this role ranges from $256,000 to $276,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
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 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.