Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)

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.

- Have 6+ years of experience working on software development and operating distributed systems

- Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.

- 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)

- 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

- 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