Hiring: SRE Tech Lead Manager, Video Platform - USDS Company: TikTok USDS Joint Venture Location: Seattle, WA Job Posted Time: 2026-09-02 17:57:36 Employment Type: Full-time Target Skills & Keywords: Site Reliability Engineering (SRE), Video Platform, Distributed Systems, Cloud-Native Architecture, Kubernetes, Observability, Service Mesh, Incident Response, SLA Management, Automation, Go, Python, Java, Unix/Linux, Networking, Team Leadership, Mentorship, Security & Compliance Experience: - 5+ years of experience designing, analyzing, and troubleshooting large-scale distributed systems with various databases, caching solutions, and other web service components - Experience running high-availability web services at massive scale - Experience in design/development or SRE in video streaming or related services - Previous experience leading a small to mid-size team while maintaining significant "hands-on" technical contributions - Proven track record of establishing and implementing SRE best practices across engineering organizations Required Skills: - Technical leadership and mentorship for a team of Site Reliability Engineers - Architectural decision-making for large-scale, globally distributed service mesh architectures - Establishing production ownership models, incident response protocols, and SLAs - Developing strategic roadmaps for observability and automation initiatives - Strong understanding of Unix/Linux operating systems internals and networking fundamentals - Proficiency in writing production-grade code in Go, Python, Java, or similar languages - Balancing technical contributions with people management (career development, performance evaluations, team growth) - Leading security initiatives and partnering with security/compliance teams Qualifications: - Comprehensive knowledge of cloud-native architectures and advanced networking concepts - Ability to foster a culture of trust, continuous learning, and knowledge sharing - Preferred: Experience in design/development or SRE in video processing applications - Preferred: Experience in large scale Kubernetes systems - Preferred: Deep expertise in algorithms, data structures, and systems design with proven ability to architect complex technical solutions Compensation: - Base salary range: $198,360 - $416,100 annually - Compensation may vary based on qualifications, skills, competencies, experience, and location - Eligible for additional discretionary bonuses/incentives and restricted stock units - Day one access to medical, dental, and vision insurance, 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, and wellbeing benefits - 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure) 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!