Site Reliability Graduate; Data Infrastructure

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

San Jose

Team:

Technology

Employment Type:

Regular

Job Code:

A160183

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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. This role includes participation in a rotational on-call schedule to ensure constant 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.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.

The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Incident response and triage:
  Serve as a first responder for production alerts and incidents. Execute established runbooks to mitigate issues 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.
• 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.

• Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computing Engineering or a related discipline.
• Experience with at least one scripting language (e.g., Python, Bash, Go).
• Solid understanding of Linux operating systems and networking concepts.

• Individuals who are completing or have recently completed a Master's degree in Computer Science, Computing Engineering or a related discipline.
• 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.
• Experie…