About the Team
The Infrastructure Engineering 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.

Responsibilities
• Build, expand, and operate ByteDance’s global infrastructures, including large-scale systems in public and private clouds, data centers, and content delivery networks.
• Build tools, automation, visualizations, and monitors to facilitate the operation and optimization of the global infrastructure.
• Work in a fast-paced environment. Participate in technical operations and rotations in response to performance and reliability issues.
• Help improve the whole lifecycle of infrastructure services from inception and design throughout development to deployment, user support, and refinement.
• Deploy and configure solutions in the cloud.
• Automate cloud operations, develop infrastructure automation scripts and participates in the continuous improvement of cloud solutions.
• Participate in the specification, setup and run Proof of Concepts and demonstrations of cloud
solutions.
• Administer and maintain servers across virtual platforms.

Minimum Qualifications:
• At least a Bachelor’s degree in any of these faculties: Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies)
• 5+ years of experience working with Unix/Linux systems from kernel to shell and beyond, with experience working with system libraries, file systems, and client-server protocols.
• 5+ years experience with essential system-level apps, like DNS, APT, LDAP, Nginx, CI/CD, Ansible, Packer etc.
• 3+ years experience in one or more programming languages such as Java, C++, Go, or scripting experience in Shell and Python.
• Self-driven and capable of coping with ambiguity and moving projects from concept to delivery.
• Strong analytical skills and the ability to solve real-world problems in a fast-moving environment.
• Experience in designing, analyzing, and building automation and tools for large-scale systems and building solutions with AWS, Google, OCI, and other cloud services.

Preferred Qualifications
• Master’s degree (or Bachelor's degree with 3+) years of experience in Computer Engineering, Electrical Engineering, Computer Science, or related major.
• Familiarity with Kubernetes techniques.
• Familiarity with Microservices and FaaS techniques.
• Experience in Web App or UI design and implementation.
• Experience in DB design, usage, and DBA.
• Experience with Unit Tests, integration tests, and performance tests.
• Experience in system and data security.