Staff Production Operations Engineer

Responsibilities

• Drive process improvements across the incident lifecycle: severity models, triage enforcement, alert noise reduction, and follow-up completion rates
• Coordinate the on-call program across multiple geographies: manage schedules and shadow rotations, onboard new engineers, and ensure consistent coverage
• Select incidents for post-incident review, facilitate blameless post-incident reviews, document findings, and track follow-up completion
• Build AI agents to automate operational toil, including on-call automation, incident summarization, post-incident reviews prep, follow-up tracking, and on-call analytics
• Maintain runbooks, playbooks, and incident process documentation

Requirements

• 5+ years of experience in site reliability engineering, DevOps, or production operations in large-scale, highly reliable environments
• Track record of leading initiatives end-to-end, from design and planning to execution and production operation
• Hands-on experience with incident management tooling (incident.io, PagerDuty, or similar) and observability stacks (Datadog, Grafana, Sentry, CloudWatch, or equivalent)
• Strong fluency with reliability concepts: MTTD, MTTR, MTTA, error budgets, SLOs
• Experience building automation and tooling to reduce operational toil
• Proficiency in Go (or comparable systems language with willingness to ramp)
• Experience with AI-assisted software development workflows including tools like Claude Code
• Working knowledge of at least one of AWS / Azure / GCP, including infrastructure as code for system and network infrastructure
• Strong written communication; ability to drive alignment across engineering teams without direct authority

Nice to Have

• Hands-on experience building agents or automations using LLMs
• Familiarity with Redpanda, Apache Kafka, or other streaming infrastructure
• Prior experience in a fast-growing B2B infrastructure or developer tools company