Senior Software Engineer, Release Infra

Brex

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$192,000–$240,000 / yr
Posted
90 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $216k
$105k $254k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $149,500–$206,450 — the blue band above. At the midpoint, this role pays about $216k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Brex

Brex is a financial technology company providing corporate credit cards, cash management accounts, and expense management software designed specifically for startups and growing technology companies. Industry: Financial Technology & Corporate Banking

Brex currently has 83 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 79 roles with salary data.

Most-posted roles

View all roles at Brex

At a glance

TL;DR · Senior Software Engineer, Release Infra

As a Senior Software Engineer, Release Infra, you will join the infrastructure team to design, build, and operate core systems powering release, observability, and incident management processes. You will drive technical strategy for deployment pipelines, ensuring releases are safe, reliable, and low-friction while reducing cycle time from code merge to production. Your daily work involves building tooling for fast detection and triage, monitoring key metrics like deployment frequency and MTTR, and mentoring other engineers. You must possess proficiency in backend languages like Go, Java, Kotlin, or Python, alongside experience with CI/CD tools such as GitHub Actions, CircleCI, or Argo. Technical requirements include expertise in Kubernetes, Docker, Terraform, and cloud platforms like AWS, GCP, or Azure to manage high-availability distributed systems and data storage.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Design, build, and maintain the release infrastructure for deployment pipelines and incident workflows.
  • Drive technical strategy and architecture for scalable, reliable, and secure release and observability systems.
  • Improve the end-to-end release process to reduce risk and cycle time from code merge to production.
  • Build and evolve tooling for observability and incident response to enable fast detection and resolution.
  • Identify and mitigate risks in the release and infrastructure stack regarding performance, reliability, and security.
  • Define and monitor key metrics like deployment frequency and MTTR to guide infrastructure improvements.
  • Debug complex production issues and drive long-term fixes in partnership with infrastructure and product teams.
  • Mentor other engineers by providing technical guidance and code reviews to elevate infrastructure quality.

What we're looking for

  • 7+ years of professional experience designing, building, and operating backend or infrastructure systems in production.
  • Strong proficiency in backend programming languages such as Go, Java, Kotlin, or Python with a focus on reliability and performance.
  • Hands-on experience with CI/CD and release pipelines including GitHub Actions, CircleCI, Buildkite, Argo, Spinnaker, or Jenkins.
  • Experience architecting and operating scalable, high-availability distributed systems on cloud platforms like AWS, GCP, or Azure.
  • Deep familiarity with containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).
  • Experience designing and maintaining observability tooling for metrics, logs, and tracing integrated into incident response workflows.
  • Strong understanding of reliability and SRE practices, including SLIs/SLOs, error budgets, and incident management best practices.
  • Experience designing and optimizing SQL and/or NoSQL data storage systems for operational and observability use cases.

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