Remote Senior SRE — Kubernetes Fleet & Platform Reliability

MongoDB Inc.

New York (NY)

Remote

USD 127,000 - 249,000

Full time

14 days+

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Benefits offered by this job

Equity
Employee stock purchase program
Flexible PTO
20 weeks parental leave
Fertility and adoption assistance
401(k) plan
Mental health counseling
Transgender-inclusive health insurance
Health benefits

Job summary

MongoDB is seeking a Platform Engineer for the Fleet Management team to own and operate a scalable Kubernetes runtime environment across multi-cloud platforms. You will collaborate with SRE and engineering to maintain reliability, security, and automation for container workloads.

You will participate in a 24/7 on-call rotation, focusing on blameless post-mortems and systemic fixes to reduce toil. Strong experience with Kubernetes, Go or Python, and Linux networking is required.

Qualifications

  • 6+ years of experience in software development and operating distributed systems.
  • Proficient in Go, Python, or a similar language, with strong testing practices.
  • Deep experience with containerization technologies, preferably Kubernetes.
  • Solid understanding of Linux internals and networking (DNS/TLS/TCP/IP).
  • Customer-focused mindset, treating internal developers as users.
  • Strong operational ownership and debugging production issues.
  • Prefer automation over manual ops work.
  • Small team with bias toward building software to eliminate toil.

Responsibilities

  • Contribute to developing and maintaining a scalable, secure Kubernetes runtime environment for MongoDB.
  • Provide internal support for our Kubernetes ecosystem and partner with eng teams to solve domain problems.
  • Participate in a 24/7 on-call rotation to resolve critical issues and drive systemic fixes.

Skills

Go
Python
Distributed systems

Tools

Kubernetes
Helm
Kustomize
Gatekeeper
Kyverno
Operators
CRI
CSI

Job description

MongoDB is seeking a Platform Engineer for the Fleet Management team to own and operate a scalable Kubernetes runtime environment across multi-cloud platforms. You will collaborate with SRE and engineering to maintain reliability, security, and automation for container workloads.

You will participate in a 24/7 on-call rotation, focusing on blameless post-mortems and systemic fixes to reduce toil. Strong experience with Kubernetes, Go or Python, and Linux networking is required.

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