The Difference You Will Make
As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams. Ops owns triage and resolution, proactive monitoring across networks, systems, applications, and cloud services via a homegrown observability platform, and drives process excellence through automation and shift-left programs.
- Lead projects across multiple products and platforms, delivering world-class outcomes.
- Own the AIOps vision, strategy, and roadmap, partnering with Observability platform owner.
- Drive execution, set priorities, build accountability, and collaborate across teams.
- Improve service efficiency and security, lead operations architecture planning.
- Identify and eliminate recurring issues through scalable automation.
- Develop and maintain testing and monitoring tooling.
- Accountable for quality and reliability, validate postmortems, drive root-cause analysis.
A Typical Day
- Lead technical strategy and discussions, build AIOps and automation solutions.
- Stay on top of tasks, engagements, and team interactions.
- Work in sprints: coding, testing, design, documentation, operational readiness.
- Triage tickets, spot patterns, drive scalable fixes.
- Participate in on-call rotation, lead high-severity incident response.
Your Expertise
- 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.
- Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.
- Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.
- Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.
- Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives.
- Proficient in Python or Go.
- Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).