Site Reliability Engineer

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform

As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements

The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system

We are strong believers in infrastructure-as-code and self-healing systems

The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility

Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service

Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers

Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware

Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation

Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability

Bachelor’s degree in Computer Science or equivalent experience

Experience writing automation tools & eagerness to “automate all the things”

Firm grasp of at least one modern programming language, beyond basic scripting

3+ years of experience running a mission critical service at scale in a Linux environment

Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc)

Experience building large applications from scratch, complete with CI/CD infrastructure

Experience in networking, security, hardware or OS performance tuning

Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)

Experience managing kubernetes clusters or some other container orchestration infrastructure

Experience with observability of large scale distributed systems