Member of Technical Staff, AI Reliability & Monitoring Engineering Lead at Postman Inc

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

276000.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Reliability Engineering, SRE, DevOps, Distributed Systems, Cloud Platforms, Monitoring Tools, Incident Response Automation, AI Systems, Observability Tools, GPU Optimization, Scaling, API Platform Operations, Open-Source Contributions, Thought Leadership

Industry

Software Development

Description

Who Are We? Postman is the world’s leading API platform, used by more than 40 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, 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 reliable, safe AI-powered services Bonus Skills and Experiences Hands-on experience with AI/ML infrastructure, including GPU/xPU optimization and scaling Familiarity with API platform operations and large-scale distributed services Prior experience building or operating observability tools tailored for AI and agentic systems Contribution to open-source projects or reliability engineering thought leadership 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. What Else? In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Hyderabad, and New York, employees are expected to come into the office 3-days a week. We were thoughtful in our approach which is based on balancing flexibility and collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our hybrid office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom. Our Values At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can. Equal opportunity Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

Responsibilities

Develop and manage reliability metrics for AI-driven API services and implement observability and monitoring systems. Design automated failover and incident response strategies to ensure high-availability AI infrastructure.