SRE: AI Infrastructure & Automation Engineer

TikTok USDS Joint Venture

Seattle (WA)

On-site

USD 130,000 - 246,000

Full time

10 days ago

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Job summary

TikTok USDS Joint Venture LLC is seeking an experienced SRE/DevOps engineer to own production systems for globally distributed services. You will work with engineering and product teams to drive observability, automation, and robust infrastructure in a highly secure environment.

This role emphasizes managing large-scale systems, incident response, and continuous improvement. The position requires strong Linux fundamentals, scripting, and experience with Kubernetes, cloud platforms, and IaC

Qualifications

  • Bachelor's degree in CS/Software Eng or equivalent practical experience.
  • 1+ years of hands-on SRE/DevOps or Systems Engineering experience.
  • Strong Linux fundamentals and networking knowledge.
  • Experience programming in Go, Python, C/C++, or Java.
  • Experience designing and maintaining distributed systems and modernizing workflows.
  • Familiarity with CI/CD and automated deployment pipelines.
  • Resilient, capable of navigating ambiguous, restricted environments.

Responsibilities

  • Partner with cross-functional teams across the entire service lifecycle.
  • Build tools and automation to improve reliability, scalability, and efficiency.
  • Ensure high availability and performance of multi-region systems.
  • Lead complex infrastructure migrations in a restricted compliance environment.
  • Drive capacity management and strict SLA/SLO compliance.
  • Drive postmortems and root-cause analysis for incident management.

Skills

SRE
DevOps
Distributed Systems
CI/CD
Linux
Go/Python/Java
Troubleshooting

Education

Bachelor's degree in CS/Software Eng
Equivalent practical experience

Tools

Kubernetes
Terraform
AWS
GCP
Azure
Prometheus
Grafana
Service Mesh

Job description

TikTok USDS Joint Venture LLC is seeking an experienced SRE/DevOps engineer to own production systems for globally distributed services. You will work with engineering and product teams to drive observability, automation, and robust infrastructure in a highly secure environment.

This role emphasizes managing large-scale systems, incident response, and continuous improvement. The position requires strong Linux fundamentals, scripting, and experience with Kubernetes, cloud platforms, and IaC

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