Senior Site Reliability Engineer
listed 47 days ago
Nirdisha removes a role 90 days after it was listed.
- Sector
- Data and AI
- City
- Delhi NCR
- Area
- Cyber City Gurugram
- Experience
- 3 to 5 years
- Role family
- DevOps and Infrastructure
- Salary
- Not disclosed
- Posted
- 21 Jul 2026 · 1 month ago
- Last checked
- 7 Sept 2026
About the role
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.
The rest of this description is on the employer’s own page.
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