Senior Infrastructure Engineer — Kubernetes, Cloud & Security

Bretton AI

San Francisco (CA)

On-site

USD 168,000 - 213,000

Full time

14 days+

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Benefits offered by this job

Comprehensive healthcare
401k matching
Flexible leave options
DoorDash and Uber home for late work
15 days PTO + holidays, unlimited sick days

Job summary

A leading financial services AI platform is seeking a Senior Infrastructure Engineer to manage Kubernetes infrastructure and ensure compliance. You'll work on automating secure infrastructure and addressing high-performance regulatory requirements while collaborating with major clients. Ideal candidates will have over 8 years of experience in infrastructure engineering, strong expertise in Docker and Kubernetes, and familiarity with AWS or Azure environments. Compensation ranges from $168k to $213k plus equity, with comprehensive benefits.

Qualifications

  • 8+ years in infrastructure engineering or DevOps at high-growth companies.
  • Experience managing Docker and Kubernetes clusters in production.
  • History of architecting AWS, GCP, or Azure at enterprise scale.
  • Strong experience with Datadog for observability.
  • Familiar with Infrastructure-as-Code tools like Terraform.

Responsibilities

  • Own and evolve Kubernetes infrastructure and security policies.
  • Design and implement progressive delivery pipelines.
  • Build and maintain observability infrastructure in Datadog.
  • Lead incident response for outages and capacity needs.
  • Automate secure infrastructure using Infrastructure-as-Code.

Skills

Infrastructure engineering experience
Docker and Kubernetes
AWS or Azure expertise
Observability tools (Datadog)
Infrastructure-as-Code (Terraform)
Python programming

Job description

A leading financial services AI platform is seeking a Senior Infrastructure Engineer to manage Kubernetes infrastructure and ensure compliance. You'll work on automating secure infrastructure and addressing high-performance regulatory requirements while collaborating with major clients. Ideal candidates will have over 8 years of experience in infrastructure engineering, strong expertise in Docker and Kubernetes, and familiarity with AWS or Azure environments. Compensation ranges from $168k to $213k plus equity, with comprehensive benefits.
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