Site Reliability Engineer, Storage Layer Services (SLS)

MongoDB

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$126,000–$248,000 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $187k
$111k most similar roles pay here $263k

This role pays less than 54% of similar roles. Most pay $154,475–$222,000 — the shaded band above. At the midpoint, this role pays about $187k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 156 open roles on FindRole.

Listed pay typically runs $126,500–$235,500 across 50 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer, Storage Layer Services (SLS)

Join a small, senior team of Site Reliability Engineers (SREs) as a founding member to define Service Level Objectives (SLOs), shape capacity plans, and ensure the reliability and durability of MongoDB’s cloud storage architecture. You will work on multi-tenant distributed storage systems, balancing strategic infrastructure goals with immediate engineering needs while building reliable services that are available, resilient, and self-healing. Your day-to-day involves identifying key metrics to detect incidents, participating in a 24/7 on-call rotation, and optimizing performance from the application level down to the kernel. Ideal candidates have over six years of experience in software development and operating distributed systems, proficiency in Python or Go, and expertise with Kubernetes, cloud infrastructure platforms like AWS or GCP, Linux OS internals, and networking concepts.

What you'll do

  • Define and implement Service Level Objectives (SLOs) for storage services.
  • Shape capacity plans to ensure reliability and durability of the storage layer.
  • Build self-healing infrastructure to maintain service availability and resilience.
  • Configure key metrics to detect incidents and measure service health effectively.
  • Participate in 24/7 on-call rotations to resolve critical issues promptly.

What we're looking for

  • 6+ years of experience in software development and operating distributed systems.
  • Proficient in Python, Go, or similar programming languages.
  • Experience with stateful storage or database systems at scale.
  • Strong bias towards automation to reduce manual processes.
  • Expertise in Kubernetes and other containerization technologies.
  • Knowledge of cloud infrastructure platforms like AWS, GCP, or Azure.
  • Deep understanding of Linux OS internals and networking concepts.

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