Tech Lead, Data Infrastructure & SRE (Cloud-Scale)

ByteDance

San Jose (CA)

On-site

USD 244,800 - 450,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) with company match
Paid parental leave
Disability coverage
Wellbeing benefits
Paid personal time

Job summary

ByteDance in San Jose seeks a Tech Lead for Data Infrastructure Site Reliability to steer the design, development, and operation of large-scale cloud infrastructure. You will collaborate with Advertising, ML, E-commerce, and Core Infra teams to ensure reliability and performance across platforms.

The role emphasizes hands-on leadership, deep technical expertise, and the ability to influence across organizations while driving automation and cost-efficient solutions.

Qualifications

  • 5+ years of experience in Site Reliability Engineering, software development, or related fields.
  • Hands-on expertise in databases, Kubernetes, or big data systems.
  • Strong knowledge of system architecture, distributed systems, and collaboration.

Responsibilities

  • Hands-on design, development, and operation of large-scale cloud infrastructure.
  • Collaborate with cross-functional teams to improve reliability, performance, and scalability.
  • Lead automation initiatives to reduce toil and improve efficiency.
  • Troubleshoot complex production issues and drive long-term reliability.
  • Promote best practices in observability, performance, and cost efficiency.
  • Communicate complex technical concepts to technical and non-technical stakeholders.

Skills

SRE experience
Cloud-based systems
Databases (SQL/NoSQL)
Kubernetes
Big Data

Job description

ByteDance in San Jose seeks a Tech Lead for Data Infrastructure Site Reliability to steer the design, development, and operation of large-scale cloud infrastructure. You will collaborate with Advertising, ML, E-commerce, and Core Infra teams to ensure reliability and performance across platforms.

The role emphasizes hands-on leadership, deep technical expertise, and the ability to influence across organizations while driving automation and cost-efficient solutions.

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