Engineering Manager, Backend - Scalable APIs & Kubernetes

Tubi

United States

Hybrid

USD 275,000 - 303,000

Full time

14 days+

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Benefits offered by this job

Flexible Time off Policy
Parental Leave Program (12 weeks)
Monthly wellness reimbursement

Job summary

Tubi in San Francisco seeks an Engineering Manager to lead a team of backend engineers, shaping architecture for high-performance, distributed services powering homepage, search, and content detail experiences.

You will drive best practices, on-call ownership, and production reliability while mentoring engineers, conducting performance reviews, and guiding hires. Hybrid work model aligns with company policy.

Qualifications

  • Bachelor's degree in CS/CE or related field.
  • 5+ years of experience in backend software engineering roles.
  • Experience designing and operating high-availability distributed systems.
  • Experience building RESTful APIs and gRPC-based services.
  • Production Kubernetes experience and strong observability skills.

Responsibilities

  • Lead and mentor backend engineers, conduct performance reviews and hiring.
  • Establish engineering best practices for development, code review, and on-call ownership.
  • Drive API design and evolution for high-traffic services (homepage, search, content).
  • Oversee scalable microservices and data-oriented backend platforms.
  • Collaborate with Product, Legal, ML, and Client Platform teams to align architecture with business needs.
  • Promote secure, observable, and resilient systems, with disaster recovery planning.

Skills

Distributed backend systems
Kubernetes
Elixir
Rust
API gateway design
gRPC/REST

Education

Bachelor's degree in Computer Science or related field

Tools

gRPC
REST APIs
API Gateway

Job description

Tubi in San Francisco seeks an Engineering Manager to lead a team of backend engineers, shaping architecture for high-performance, distributed services powering homepage, search, and content detail experiences.

You will drive best practices, on-call ownership, and production reliability while mentoring engineers, conducting performance reviews, and guiding hires. Hybrid work model aligns with company policy.

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