Site Reliability Engineer, Compute - USDS

Site Reliability Engineering(SRE) at TikTok combines software and systems engineering to build and run large-scale, massively distributed, and fault-tolerant systems. In our team, you’ll have the opportunity to manage the complex challenges of scale, while using expertise in coding, algorithms, complexity analysis, and large-scale system design. We embrace a culture of diversity, intellectual curiosity, openness, and problem-solving. We encourage close collaboration while promoting self-direction.

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:
- Develop and maintain automation procedures to maximize system efficiency and minimize human intervention.
- Work closely with software engineering teams to design, deploy and operate elements to ensure that systems are functionally robust.
- Ensure system scalability to handle growth in web traffic and data.
- Implement monitoring tools and set up metrics to keep track of system health and performance.
- Participate in on-call rotations, assist with incident management, and diagnose, resolve, and prevent production issues.
- Conduct performance tests to find and address system bottlenecks.
- Collaborate with teams across the organization to define Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Service Level Agreements (SLAs).
- Practice sustainable user support, incident response, and blameless postmortems.Minimum Qualification:
- Bachelor's degree in Computer Science, Information Technology, or a related field with 3+ years of experience
- Proven work experience as a Site Reliability Engineer, Systems Engineer, or similar software engineering role.
- Passionate about operational excellence through methodical automation and engineering processes using programming languages such as Go, Python and/or any other languages.
- Experience in network architecture, database modeling, cloud systems and large-scale distributed systems.
- Strong understanding of Linux operating systems and open-source technologies.
- Excellent problem-solving skills, strategic thinking, and a strong ability to debug complex systems.
- Exceptional communication skills and the ability to effectively collaborate with cross-functional teams.

Preferred Qualification:
- Knowledge of monitoring tools and methodologies (such as Prometheus, Grafana).
- Experience with containers and container orchestration platforms such as Docker, Kubernetes or equivalent.

Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.