Site Reliability Graduate (Data Infrastructure) - 2027 Start
About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut, and Pico, as well as platforms specific to the China market, such as Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover, and connect—and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity, and enrich life. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
About the Role
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.
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.
Requirements
- 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.
Qualifications
- 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.
- Experience in the operation and construction of Data Centers is a plus.
Benefits
- Day one access to medical, dental, and vision insurance.
- 401(k) savings plan with company match.
- Paid parental leave.
- Short-term and long-term disability coverage.
- Life insurance.
- Wellbeing benefits.
- 10 paid holidays per year.
- 10 paid sick days per year.
- 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
- Eligibility for additional discretionary bonuses/incentives and restricted stock units.
Pay
The base salary range for this position is $128,000 - $316,800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the total package that includes additional discretionary bonuses/incentives and restricted stock units.