Hiring: Software Engineer, AI Infrastructure - USDS Company: TikTok USDS Joint Venture Location: San Jose, CA Job Posted Time: 2026-09-16 23:56:19 Employment Type: Hybrid Target Skills & Keywords : CI/CD, Docker, GitHub Actions, GitLab CI, Jenkins, Kubernetes, Linux, Machine Learning, Python, R, Service Mesh About the job Experience: •1+ years of professional experience in software development or infrastructure. Required Skills: •Assist in the deployment, operation, and optimization of Recommendation and Search systems throughout their entire lifecycle. •Develop and maintain internal software and automation scripts to eliminate manual tasks and improve overall R&D velocity. •Actively facilitate and support availability of large-scale services deployed across global data centers through proactive monitoring and maintenance. •Track and report on cloud resource utilization to help the team meet efficiency goals and maintain cluster SLAs. •Configure and manage monitoring stacks to track service latency, health metrics, and system performance. Qualifications: •Bachelor’s degree in Computer Science or a related technical field, with 1+ years of professional experience in software development or infrastructure. •Solid understanding of Linux systems and networking fundamentals. •Proficiency in programming with Python or Go, with a focus on writing clean and efficient automation tools. •Foundational knowledge of distributed systems and a strong interest in troubleshooting complex technical issues. •Effective communication skills and a proactive approach to solving engineering bottlenecks. •Prior experience or internships focused on SRE, DevOps, or internal platform engineering. •Operational familiarity with container orchestration tools like Kubernetes. •Basic understanding of the machine learning lifecycle or model inference workflows. •On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.​ Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!