Member of Technical Staff, AI Reliability & Monitoring Engineering Lead

Postman
San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: []

Experienced AI reliability engineer to define, build, and maintain reliable AI-powered API and agentic systems in production. Focus on monitoring, availability, incident response, and automation to support AI services; lead efforts across engineering and product teams to optimize AI infrastructure and tooling for operational excellence in a hybrid work environment.

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Postman
Postman
11 months ago

Member of Technical Staff, AI Reliability & Monitoring Engineering Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Experienced AI reliability engineer to define, build, and maintain reliable AI-powered API and agentic systems in production. Focus on monitoring, availability, incident response, and automation to support AI services; lead efforts across engineering and product teams to optimize AI infrastructure and tooling for operational excellence in a hybrid work environment.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •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
  • •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

Pay and Benefits

Perks:Health InsurancePaid LeaveWellness Stipend

Key Requirements

  • •Strong background in AI reliability engineering, SRE, or DevOps for distributed systems
  • •Understand the challenges of maintaining large-scale AI systems and integrating AI-specific metrics into reliability frameworks
  • •Experience with cloud platforms, monitoring tools, and incident response automation
  • •Ability to collaborate across teams to influence best practices for AI system reliability and operational health
  • •Thrive in dynamic, fast-paced environments delivering reliable, safe AI-powered services
Experience:AIDistributed systems
Languages:English
Tech Stack:GPUGPU accelerationObservabilitySREDevOpsCloudMonitoringAutomation

Company Brief

Postman
Provides a collaborative API development platform enabling design, testing, documentation, and monitoring of APIs. Widely used by developers and teams to streamline API workflows across development and testing lifecycles.
Industry: API Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2014
WebsiteLinkedIn