Jobs · Engineering · California

Engineering Manager, Cloud Infrastructure

Brex · San Francisco, CA · 1 wk ago
HybridEngineering$240k–$300k/yrFull-time

Responsibilities

  • Lead and Grow: Manage and support a senior team of 6 ICs, fostering a culture of high ownership, autonomy, and technical excellence.
  • Drive BCDR Strategy: Oversee the execution of the multi-year BCDR initiative, ensuring multi-region infrastructure readiness and automated failover capabilities.
  • Technical Stewardship: Maintain and scale Brex’s core cloud infrastructure, including Kubernetes (EKS), RDS/Aurora/Postgres, networking (VPC), and AWS service integrations.
  • Cross-Functional Collaboration: Partner with product and engineering teams across Brex to drive adoption of new infrastructure capabilities and ensure successful migrations.
  • Operational Excellence: Improve team hygiene by establishing and improving best practices for work tracking (Linear), documentation, and incident response.
  • Resource Management: Effectively allocate resources to balance critical project delivery with long-term infrastructure stability.

Requirements

  • Leadership Experience: 3+ years of experience directly managing software or infrastructure engineering teams.
  • Technical Depth: Deep hands-on experience with cloud infrastructure foundations, specifically AWS, Kubernetes, and Postgres.
  • Architectural Insight: Proven ability to design and implement complex infrastructure projects such as multi-region deployments or disaster recovery frameworks.
  • Collaborative Mindset: Strong communication skills with the ability to influence technical decisions across multiple autonomous teams.
  • Analytical Problem Solving: Ability to dive deep into technical issues while maintaining a high-level strategic view of organizational goals.
  • Engineering Background: 5+ years of experience in software or systems engineering.

Bonus Points

  • Experience with Infrastructure as Code tools, specifically Terraform.
  • Background in managing cloud infrastructure cost optimization programs.
  • Experience with our tech stack components: Go, Kotlin, Python, or Elixir.
  • Passion for leveraging AI and LLM-assisted workflows to increase engineering velocity.

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