Site Reliability Graduate (Data Infrastructure)
ByteDance
About the Role
The Data Infrastructure SRE team is responsible for the reliability, scalability, and efficiency of the core data services that power ByteDance's products. This role is not about building features, but about engineering the resilience and performance of the underlying platform that all product teams depend on. As a graduate, you will have 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.
Key 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.
- Participate in a rotational on-call schedule to ensure constant coverage for critical data infrastructure.
- Respond to, troubleshoot, and resolve production incidents.
- Engage in rigorous change management and post-incident review processes.
Requirements & Tech Stack
- Commitment to an onboarding date by the end of the year.
- Availability and graduation date clearly stated in resume.
- Candidates can apply to a maximum of two positions globally.
- Applications reviewed on a rolling basis.
- Environment built on technologies like Kubernetes, Redis, MySQL, and Message Queue.
- Scripting languages such as Python, Go, and Bash.
Qualifications
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
- Experience in the operation and construction of Data Centers is a big plus.