Senior Site Reliability Engineer

MongoDB is hiring a Senior Site Reliability Engineer in Gurugram, India. Level rates it ; you can apply on MongoDB.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions Kubernetes, Python and Go among its tools and skills.
Level classes it as a senior role.
MongoDB has 382 other open roles on Level.

AI in this role

Operate and improve multi-tenant Kubernetes infrastructure supporting large-scale AI applications on MongoDB.

kubernetespythongoawsgcpazureistiocilium

We are seeking a Senior 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 Senior Site Reliability Engineer on this new team, you will be responsible for enabling deployment at scale of AI applications and improving the performance, scalability, and reliability of the distributed systems infrastructure for this new product. 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

Operate and improve the multi-tenant Kubernetes infrastructure that runs customer workloads
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 platform infrastructure
Mentor early-career SREs and contribute to the team’s operational practices as it grows

Qualifications

Strong background in software development and operating distributed systems
6+ years of experience building and operating distributed systems, with proficiency in Python, Go, or a similar programming language
Experience operating Kubernetes in production and debugging below the abstraction layer, including scheduling, cluster networking, and node-level issues
Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
Strong understanding of Linux operating system internals and networking concepts such as TCP/IP, DNS, TLS, and routing
Customer-focused mindset and strong verbal and written technical communication skills, with a desire to collaborate with colleagues
Strong bias for efficient processes, operational simplicity, and automation over manual work
Bonus points for experience with Kubernetes networking, such as Istio or Cilium, service mesh or edge load balancing in production, secure multi-tenant runtime environments at scale, multi-cloud infrastructure management, and virtualization or workload isolation technologies
Eager to learn, with a strong technical background

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 - 2273489536

How we rate this

Senior Site Reliability Engineer at MongoDB rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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.

Key facts

Senior Site Reliability Engineer is an open job at MongoDB.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Gurugram.
The job was posted on July 21, 2026.
Seniority: senior.
Applications are handled by MongoDB. Apply on MongoDB

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

KubernetesPythonGoAWSGoogle CloudAzureIstioCilium

Questions you could be asked

What's a project where you used Kubernetes hands-on?
Walk me through how you've used Python in your day-to-day work.
What are the limits of Go that you've run into, and how did you work around them?
What's a project where you used AWS 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: Kubernetes, Python, Go, AWS, 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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