Cloud Site Reliability Engineer - Data Center Cloud

About the role

The DCS team builds and operates hyperscale datacenters and manages the full lifecycle of the server fleet, delivering cloud solutions and infrastructure services that are scalable and reliable. As a Cloud Site Reliability Engineer, you will design, build, scale and operate ByteDance's global infrastructure across public and private clouds, while developing tools, automation and monitoring systems.

Key responsibilities

• Design, build, scale and operate ByteDance's global infrastructure, including large-scale systems spanning public and private clouds.
• Develop tools, automation frameworks, visualizations and monitoring systems to streamline operations and optimize infrastructure.
• Create, manage and standardize cloud AMIs/images across environments in line with global compliance standards.
• Take part in technical operations and on-call rotations to handle incidents related to cloud, OS, network, performance and reliability.
• Drive improvements across the infrastructure lifecycle, from design and development through deployment, user support and continuous refinement.

Required profile

• Bachelor's degree or above in Computer Science, Software Engineering, Information Security or a related field.
• 2+ years of experience in Linux operations, SRE or DevOps.
• Familiarity with core reliability practices: monitoring and alerting, capacity management, change management, canary/gray releases, incident response and postmortems.
• Strong communication, collaboration and ownership, with a results-oriented mindset.

Required skills

• Proficiency in at least one programming language such as Go, Python or C++, with platform development, system tooling and automation.
• Deep understanding of Linux, computer networks, storage systems, GPU systems and databases, with systematic troubleshooting and root-cause analysis.
• Preferred: hands-on public cloud experience (OCI, AWS, Azure, GCP), large-scale host delivery, AMI systems, KVM/QEMU, Docker, Kubernetes, GPU cluster maintenance and reliability initiatives such as failure drills and observability platforms.