ByteDance

2 days ago

Tech Lead - Data Infrastructure Site Reliability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead hands-on Site Reliability Engineering for large-scale data infrastructure, helping design, build, and operate highly reliable cloud and distributed systems. Partner across engineering, product, data, and infrastructure teams to improve reliability, scalability, and performance, including automating operations and reducing toil. Own complex production troubleshooting with root-cause analysis, and champion best practices in system design, observability, cost efficiency, and clear technical communication.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and operate large-scale cloud infrastructure and distributed systems with strong hands-on execution.
•Collaborate with cross-functional teams to improve system reliability, performance, and scalability.
•Lead initiatives to automate operations, eliminate toil, and improve system efficiency.
•Troubleshoot complex production issues, conduct root-cause analysis, and drive long-term reliability improvements.
•Promote best practices in system design, observability, performance optimization, and cost efficiency while communicating clearly to technical and non-technical stakeholders.

Key Requirements

•5+ years of experience in Site Reliability Engineering, software development, or related fields focused on designing, building, scaling, and operating cloud-based systems.
•Strong hands-on expertise in at least one area such as databases (SQL/NoSQL), Kubernetes/container orchestration, or big data processing/storage (streaming and batch).
•Deep knowledge of system architecture, distributed systems, and performance bottlenecks.
•Ability to design, develop, and operate large-scale cloud infrastructure and distributed systems.
•Excellent communication and collaboration skills working across engineering, product, and data science teams.

Experience:5+ years

Skills:Problem-solvingCommunicationCollaborationCross-functional teamworkLeadership

Tech Stack:KubernetesSQLNoSQLCloud infrastructureDistributed systemsBig dataStreamingBatchContainer orchestration

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Tech Lead - Data Infrastructure Site Reliability

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and operate large-scale cloud infrastructure and distributed systems with strong hands-on execution.
•Collaborate with cross-functional teams to improve system reliability, performance, and scalability.
•Lead initiatives to automate operations, eliminate toil, and improve system efficiency.
•Troubleshoot complex production issues, conduct root-cause analysis, and drive long-term reliability improvements.
•Promote best practices in system design, observability, performance optimization, and cost efficiency while communicating clearly to technical and non-technical stakeholders.

Key Requirements

•5+ years of experience in Site Reliability Engineering, software development, or related fields focused on designing, building, scaling, and operating cloud-based systems.
•Strong hands-on expertise in at least one area such as databases (SQL/NoSQL), Kubernetes/container orchestration, or big data processing/storage (streaming and batch).
•Deep knowledge of system architecture, distributed systems, and performance bottlenecks.
•Ability to design, develop, and operate large-scale cloud infrastructure and distributed systems.
•Excellent communication and collaboration skills working across engineering, product, and data science teams.

Experience:5+ years

Skills:Problem-solvingCommunicationCollaborationCross-functional teamworkLeadership

Tech Stack:KubernetesSQLNoSQLCloud infrastructureDistributed systemsBig dataStreamingBatchContainer orchestration

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn