The infrastructure team of US Tech Services Department at TikTok supports the company's fast growth by building and operating hyper-scale datacenters, managing the life cycle of server fleet, providing cloud solutions, and developing various infrastructure services and making sure they are scalable and are reliable. Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed infrastructures. Our SREs are tasked to ensure the infrastructure services are reliable, fault-tolerant, efficiently scalable and cost-effective. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities • Build tools, automations, 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
Minimum qualifications: • Master’s degree (or Bachelor's degree with 3+) years of experience in Computer Engineering, Electrical Engineering, Computer Science or related major • 3+ years experience working with Unix Linux systems from kernel to shell and beyond with experience working with system libraries, file systems, and client-server protocols. • 3+ years experience in one or more programming languages such as Java, C++, Go, or scripting experience in Shell and Python. Preferred qualifications • Self-driven and capable of coping with ambiguity and move projects from concept to delivery. • Strong in 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 • Experience in building solutions with AWS, Google, Azures and other cloud services. • Experience in networking technologies such TCP/IP, BGP, DNS, etc. in a carrier-grade environment. • Experience in developing and operating one or more of following systems: OpenStack, Kubernetes, Nginx, ipvs, ELK stack, Hadoop, etc. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
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