SRE, Platform Responsibility — AI‑Driven Reliability

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 130,000 - 246,000; Full time

Job summary

TikTok USDS Joint Venture LLC seeks a Platform Responsibility Engineer to build ML models and systems thatIdentify and defend against internet abuse and fraud. You will work on realtime/batch data pipelines, incident response, and scalable observability.

This role requires 1+ year of industry experience, strong Unix/Linux skills, and hands-on AI/LLM API integration, plus monitoring with Prometheus, Grafana and DataDog. Backend stacks include MySQL/Redis/Nginx/Kafka/Kubernetes/Docker.

Qualifications

• Bachelor's degree in computer science or a related technical discipline.
• At least 1 year of industrial experience.
• Experience integrating AI/LLM APIs into internal workflows or infrastructure tooling.
• Troubleshooting and independent thinking capabilities.
• Familiar with Unix/Linux system internals, networking, and distributed systems.
• Expertise in monitoring tools (Prometheus, Grafana, DataDog) and fundamental observability approaches.

Responsibilities

• Manage day-to-day operations of data service, realtime/batch pipelines with SLA/SLO/SLI management.
• Design and deploy AI Agents and LLM-powered automation for incident response and proactive monitoring.
• Create tools and automation to improve system administration and operational efficiency using AI-assisted development.
• Engage in and improve the lifecycle of services from inception to deployment and refinement.
• Practice sustainable user support, incident response, and post mortem.
• Work in a 24/7 on-call team with scheduled shifts, including holidays.

Skills

AI/LLM APIs

Unix/Linux knowledge

Observability

Troubleshooting

Distributed systems

Education

Bachelor's degree in computer science or related field

Tools

MySQL

Redis

Nginx

Kafka

Kubernetes

Docker

Job description

TikTok USDS Joint Venture LLC seeks a Platform Responsibility Engineer to build ML models and systems thatIdentify and defend against internet abuse and fraud. You will work on realtime/batch data pipelines, incident response, and scalable observability.

This role requires 1+ year of industry experience, strong Unix/Linux skills, and hands-on AI/LLM API integration, plus monitoring with Prometheus, Grafana and DataDog. Backend stacks include MySQL/Redis/Nginx/Kafka/Kubernetes/Docker.