Cloud Site Relibility Engineer - DCS

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, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​ Why Join ByteDance 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 - a mission we work towards every day.​ As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make 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. When we create and grow together, the possibilities are limitless. Join us.​ Diversity & Inclusion​ ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​ Responsibilities About the TeamThe DCS team supports the company's fast growth by building and operating hyperscale datacenters. The team manages the end to end lifecycle of server fleet, providing cloud solutions and various infrastructure services ensuring that they are scalable and are reliable.- 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 drive optimization of global infrastructure.- Create, manage, and standardize cloud AMIs/images for use across multiple environments, ensuring strict alignment with the company's global compliance standards.- Thrive in a fast-paced environment, engaging in technical operations and on-call rotations to address incidents related to cloud, OS, network, performance, and reliability.- Drive improvements across the entire infrastructure lifecycle, from ideation and design through development, deployment, user support, and continuous refinement. Qualifications Minimum Qualifications: - 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; experience operating large-scale production environments is a strong plus. - Proficient in at least one programming language such as Go, Python, or C++, with solid engineering capabilities in platform development, system tooling, and automation. - Strong computer science fundamentals, with deep understanding of Linux OS principles, computer networks, storage systems, GPU systems, and databases, along with systematic troubleshooting and root-cause analysis skills. - Familiar with core reliability practices, including monitoring and alerting, capacity management, change management, canary/gray releases, incident response, and postmortem processes. - Strong communication and collaboration skills, with the ability to proactively identify problems, drive cross-team execution, and demonstrate strong ownership and results-oriented mindset. Preferred Qualifications: - Hands-on experience operating public cloud platforms, or deep familiarity with major cloud providers such as OCI, AWS, Azure, GCP, etc, including understanding of their underlying mechanisms. - Experience with large-scale cloud host delivery, image/AMI systems, resource scheduling, network adaptation, and virtualization technologies such as KVM/QEMU. - Familiar with containers and cloud-native ecosystems, including Docker, Kubernetes, and containerd, with a solid understanding of isolation mechanisms like cgroups and namespaces. - Experience maintaining GPU clusters, including drivers, CUDA, MIG, topology awareness, troubleshooting, stress testing, and GPU delivery pipelines. - Proven experience in reliability-focused initiatives such as failure drill systems, capacity governance, change governance, observability platforms, and resource cost optimization. - Open-source contributions, technical blogs, patents, or technical sharing experience are highly preferred.