MongoDBStaff Site Reliability Engineer
MongoDB is hiring a Staff Site Reliability Engineer in Gurugram, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Kubernetes, Python and Go.
- Level classifies it as a senior role.
- Level lists 382 other open roles at MongoDB.
AI in this role
Build operational foundations and reliability architecture for a platform scaling AI applications on MongoDB.
We are seeking a Staff Site Reliability Engineer to join our growing Gurugram Products & Technology team to provide technical direction, shape architecture, and build key operational foundations of a new platform we are building to make it easier for customers to build AI applications using MongoDB.
As a Staff Site Reliability Engineer on this new team, you will be responsible for providing technical leadership for the operational foundations that enable deployment at scale of AI applications. You will own the reliability architecture of the platform as it expands across regions and cloud providers, and set the technical direction for how the platform is operated, including capacity planning, multi-cloud expansion, incident response, and SLO discipline. The platform's SRE team owns the operational foundations: the Kubernetes fleet, networking, observability and alerting, and tenant isolation. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Position Expectations
- Own the reliability architecture of the platform across regions and cloud providers
- Collaborate with the teams building the platform, providing internal support and guidance on operability, capacity, and best practices
- Set operational standards for the team: on-call quality, incident response, SLO discipline
- Mentor and technically develop the SRE team
- Participate in a 24/7 on-call rotation to resolve issues involving platform infrastructure
Qualifications
- 10+ years of experience working on software and operating distributed systems, with deep Kubernetes expertise, including designing or evolving multi-cluster platforms
- Proficiency in Python, Go, or a similar programming language
- Understand workload isolation at the systems level: containers, virtual machines, and the trade-offs between them for running untrusted code
- Possess a customer-focused mindset
- Value efficiency in processes and operations, and display a strong preference for automation over manual processes
- Be intimately familiar with the infrastructure primitives of at least one of AWS, GCP, or Azure, and comfortable reasoning about differences between them
- Have a track record of driving infrastructure architecture across teams and mentoring engineers
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 is an equal opportunities employer.
Req ID - 2273489539
How we rate this
Staff Site Reliability Engineer at MongoDB rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
- Tell me about a project where site reliability engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where capacity planning was part of your work. What did you do?
- Tell me about a project where incident response was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Site Reliability Engineering, Distributed Systems, Infrastructure, Capacity Planning, and Incident Response. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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