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 and help BizTech teams focus on their core work with confidence.
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 will identify and eliminate recurring issues through scalable automation, improving operational performance and productivity.
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.
Requirements
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).
Tech Stack
AWS
Cloud
Python
SDLC
Go
Benefits
This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.