Senior Staff Site Reliability Engineer, Storage Layer Services

MongoDB

Confirmed live yesterday Low trust
Remote

Quick summary

Work type
Remote
Location
Dublin, IrelandCork, Ireland
Posted
101 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $189k
$141k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $160,259–$217,225.

Based on 238 similar postings.

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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 311 open roles on FindRole.

Listed pay typically runs $126,000–$226,000 across 95 roles with salary data.

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At a glance

TL;DR · Senior Staff Site Reliability Engineer, Storage Layer Services

Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS) joins the Storage Layer Services team to help re-architect the MongoDB cloud storage layer. As a member of this small, senior team, you will build performant, multi-tenant distributed storage services that enhance the Atlas storage stack and improve workload efficiency. Your daily responsibilities include defining SLOs, shaping capacity plans, ensuring reliability and durability, and building self-healing infrastructure. You will identify metrics to detect incidents, participate in a 24/7 on-call rotation, and optimize performance from the application level down to the kernel. The role requires proficiency in Python or Go, experience with Kubernetes and containerization technologies, and expertise in cloud platforms like AWS, GCP, or Azure. You must also possess deep knowledge of Linux internals, networking concepts, and managing stateful storage systems at scale.

What does a Site Reliability Engineer earn?

Median $186200 from 131 postings across 36 companies.

See salary data

What you'll do

  • Develop and maintain multi-tenant distributed storage systems for the MongoDB Atlas platform.
  • Build resilient, fault-tolerant, and self-healing infrastructure to ensure high availability and durability.
  • Define SLOs and shape capacity plans for next-generation cloud storage architecture.
  • Identify and configure key metrics to detect incidents and quantify service performance.
  • Participate in a 24/7 on-call rotation to resolve critical storage infrastructure issues.
  • Optimize system performance from the application level down to the Linux kernel.
  • Automate manual processes to reduce operational toil and improve team efficiency.
  • Manage and scale infrastructure across multi-cloud environments including AWS, GCP, and Azure.

What we're looking for

  • Have 6+ years of experience working on software development and operating distributed systems.
  • Proficiency in Python, Go, or a similar programming language.
  • Experience operating or supporting stateful storage or database systems at scale.
  • Experience using and extending containerization technologies, particularly Kubernetes.
  • Expertise in cloud infrastructure platforms including AWS, Google Cloud Platform (GCP), or Azure.
  • Understanding of Linux operating system internals and networking concepts like TCP/IP, DNS, TLS, and routing.
  • Experience leading architectural shifts and large-scale data migrations for multi-tenant storage architectures.
  • Experience designing secure, multi-tenant runtime environments at scale.

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