Senior Site Reliability Engineer

MongoDB•Boston, MA

2d•$127,000 - $249,000•Remote

About The Position

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location.

Requirements

Have 6+ years of experience working on software development and operating distributed systems
Proficiency in Python, Go, or a similar language
Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
Possess a customer-focused mindset
Value efficiency in processes and operations
Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Nice To Haves

Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
Designing secure, multi-tenant runtime environments at scale

Responsibilities

Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel