MongoDB

Site Reliability Engineer 3

$111K–$218KFull-time · New York City
✓ Verified live on the employer's own system · added 111 days ago
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Mid-level · 3+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 3+ years

Skills & tools

TroubleshootingEmbeddedLinuxProgrammingScriptingDevopsSecurityCloud Platforms

Benefits — mentioned in this posting

Remote / flexible
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Full job description

We are looking to speak to candidates who are based in New York City for our hybrid working model.

- 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

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

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

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

- Bachelor's degree in Computer Science or equivalent experience

- Experience writing automation tools & eagerness to "automate all the things"

- 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

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