The Data Infrastructure SRE team is responsible for the reliability, scalability, and efficiency of the core data services that power our products.
We manage a massive, distributed environment built on technologies like Kubernetes, Redis, MySQL, and Message Queue.
Our work is not about building features, but about engineering the resilience and performance of the underlying platform that all product teams depend on.
We are the guardians of production, ensuring our data systems run smoothly, nonstop.
This role includes participation in a rotational on-call schedule to ensure nonstop coverage for our critical data infrastructure.
You will be expected to respond to, troubleshoot, and resolve production incidents.
Our team collaborates across multiple time zones, and you will engage in rigorous change management and post-incident review processes to maintain system stability.
Responsibilities:
- Incident response and triage: Serve as a first responder for production alerts and incidents. Execute established runbooks to mitigate issues and escalate effectively when necessary.
- Operational excellence and change management: Perform routine operational tasks, such as deployments, configuration changes, and system maintenance, following established change control processes to minimize production risk.
- Iterative automation and AI augmentation: Identify and automate repetitive manual tasks using scripting (e.g., Python, Go, Bash) and AI Agents to reduce toil, improve operational consistency, and boost overall productivity.
- Observability and monitoring: Improve our observability posture by refining monitoring dashboards, tuning alert thresholds, and ensuring that our systems are sufficiently instrumented to detect and diagnose problems.
- Data Center and AI Infrastructure: Support the daily operations, construction, and maintenance of data center environments and AI infrastructure to meet the demands of large-scale data processing.