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Overview
Staff

Member of Technical Staff, AI Reliability & Monitoring Engineering Lead

Confirmed live in the last 24 hours

Postman

Postman

Compensation

$256,000 - $276,000/year

San Francisco, California, United States
On-site
Posted March 19, 2026

Job Description

Who Are We?

Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.

The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.

P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman.

The Opportunity

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.

What You’ll Do

  • Develop and manage reliability metrics (SLOs) for AI-driven API services and agentic AI platform features

  • Implement comprehensive observability and monitoring systems for real-time performance and fault detection

  • Design and drive automated failover, recovery, and incident response strategies for high-availability AI infrastructure

  • Optimize resource utilization, particularly GPU/accelerator efficiency, ensuring cost-effective AI system operation

  • Collaborate closely with engineering, platform, and product teams to align reliability efforts with broader organizational goals

  • Lead efforts to build internal tooling and automation focused on AI system stability and operational excellence

  • Drive continuous improvement in deployment practices, monitoring approaches, and incident management processes

About You

  • Have a strong background in AI reliability engineering, SRE, or DevOps for distributed systems

  • Understand the unique challenges of maintaining large-scale AI systems and integrating AI-specific metrics into reliability frameworks

  • Are experienced with cloud platforms, monitoring tools, and incident response automation

  • Are comfortable collaborating across teams to influence best practices for AI system reliability and operational health

  • Thrive in dynamic, fast-paced environments focusing on delivering rel

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