Site Reliability Engineer - Data Infrastructure

• 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.

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 2+ years of experience in an SRE, DevOps, Systems Administration, or similar role.
• Experience with at least one scripting language (e.g., Python, Bash, Go).
• Solid understanding of Linux operating systems and networking concepts.

• Familiarity with container technologies like Docker and Kubernetes.
• Hands-on experience with at least one common data store (e.g., MySQL, Redis, PostgreSQL).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack).
• A strong desire to learn, a proactive attitude toward problem-solving, and excellent communication skills.
• Experience in the operation and construction of Data Centers is a big plus.

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, constantly.