Site Reliability Engineer 3
MongoDB is hiring a Site Reliability Engineer 3 in New York, United States. It pays $111k-$218k a year and Level rates it ; you can apply on MongoDB.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Linux, Kubernetes and AWS.
- Level classifies it as a senior role.
- Level lists 381 other open roles at MongoDB.
AI in this role
Design and build global cloud infrastructure and automation tools for the MongoDB Atlas platform.
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.
We are looking to speak to candidates who are based in New York City for our hybrid working model.
Responsibilities
- 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
Requirements
- 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"
Nice to have
- 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
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 3263213607
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:$111,000—$218,000 USDHow we rate this
Site Reliability Engineer 3 at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Linux hands-on?
- Walk me through how you've used Kubernetes in your day-to-day work.
- What are the limits of AWS that you've run into, and how did you work around them?
- What's a project where you used Azure hands-on?
- Walk me through how you've used Google Cloud in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Linux, Kubernetes, AWS, Azure, and Google Cloud. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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