Senior Staff Operations Engineer, AIOps

Details

• Your scope includes leading projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs.
• You will own the AIOps vision, strategy, and roadmap, partnering with the in-house Observability platform owner to leverage infrastructure and data for accurate, correlated insights that streamline Operations. You’ll drive execution by setting priorities, building accountability, and collaborating effectively across teams. You will partner with BizTech engineering teams to improve service efficiency and security, and lead 1–3 year operations architecture planning to connect production systems and improve compatibility and stability.
• You will identify and eliminate recurring issues through scalable automation, improving operational performance and productivity. You’ll also lead the development and maintenance of testing and monitoring tooling to ensure automation platforms run reliably.
• You will be accountable for the quality and reliability of BizTech services, including validating postmortems, driving root-cause analysis, and ensuring corrective actions are implemented.
• You’ll lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions.
• You’ll stay on top of tasks, engagements, and team interactions—active collaboration is key to success.
• You’ll work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews.
• You’ll dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency.
• You’ll participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer.
• 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 that anticipate business needs.
• Proficient in Python or Go.
• Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).