Site Reliability Engineer - Scale, Automation & Resilience

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 259,000; Full time

Job summary

TikTok USDS Joint Venture is seeking a Site Reliability Engineer to design, implement, and run large-scale, fault-tolerant systems. You will automate workflows, partner with software teams, and drive reliability with monitoring and metrics across the stack.

Ideal candidates have 3+ years in SRE or related roles, strong Python/Go/Java skills, and experience with Docker/Kubernetes. The team emphasizes collaboration, scalability, and blameless postmortems while operating in a fully in-person

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field with 3+ years of experience.
• Proven work experience as an SRE, Systems Engineer, or similar software engineering role.
• Proficient in Python, Go, Java, and Shell scripting.
• Experience in network architecture, cloud systems, and large-scale distributed systems.
• Strong Linux knowledge and open-source technologies.
• Experience with containers and orchestration (Docker, Kubernetes).
• Knowledge of monitoring tools (Prometheus, Grafana).
• Excellent problem-solving and communication skills.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Develop and maintain automation procedures to maximize system efficiency.
• Collaborate with software teams to deploy and operate robust systems.
• Ensure system scalability to handle growth in web traffic.
• Implement monitoring and set up metrics for system health.
• Participate in on-call rotations and incident management.
• Define and monitor SLOs, SLIs, and SLAs.

Skills

Python

Go

Java

Shell scripting

Linux

Distributed systems

Cloud platforms

Network architecture

Troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Prometheus

Grafana

Job description

TikTok USDS Joint Venture is seeking a Site Reliability Engineer to design, implement, and run large-scale, fault-tolerant systems. You will automate workflows, partner with software teams, and drive reliability with monitoring and metrics across the stack.

Ideal candidates have 3+ years in SRE or related roles, strong Python/Go/Java skills, and experience with Docker/Kubernetes. The team emphasizes collaboration, scalability, and blameless postmortems while operating in a fully in-person