MongoDB
About this role
The operational counterpart to MongoDB's new AI application platform, on the same Gurugram team. This SRE group owns the foundations: the multi tenant Kubernetes fleet that runs customer workloads, networking, observability and alerting, and tenant isolation. The posting is specific that it wants Kubernetes debugging below the abstraction layer, meaning scheduling, cluster networking and node level problems rather than kubectl fluency. You would build for resilience and self healing, define the metrics that detect incidents and quantify service health, and mentor early career SREs as the team grows. There is a 24/7 on call rotation, stated openly. It asks 6+ years building and operating distributed systems with Python, Go or a similar language. It is hybrid in Gurugram.
Who this is for
What the posting asks for:
- 6+ years of experience building and operating distributed systems, with proficiency in Python, Go or a similar language.
- A strong background in software development and operating distributed systems.
- Experience operating Kubernetes in production and debugging below the abstraction layer, including scheduling, cluster networking and node level issues.
- Expertise in cloud infrastructure platforms: AWS, Google Cloud or Azure.
- A strong understanding of Linux internals and networking concepts such as TCP/IP, DNS, TLS and routing.
- A customer focused mindset and strong technical communication.
- A strong bias for efficient processes, operational simplicity and automation over manual work.
Counts as a bonus:
- 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.
- Virtualisation or workload isolation technologies.
The day to day: operating and improving the multi tenant Kubernetes infrastructure that runs customer workloads, building for reliability so services and infrastructure are available, resilient, fault tolerant and self healing, identifying and configuring the key metrics that detect incidents and quantify service health and performance, taking part in a 24/7 on call rotation to resolve platform infrastructure issues, and mentoring early career SREs while shaping the team's operational practices.
Experience: the posting states 6+ years.
On call: a 24/7 rotation is stated explicitly in the posting. Factor that in rather than discovering it at offer stage.
Location: Gurugram, hybrid. MongoDB states it wants candidates based in Gurugram for this model.
Who should apply: an SRE with six or more years who wants Kubernetes at multi tenant scale and is comfortable being early on a platform team, which means writing the operational practices rather than following them. If you would rather build the platform than run it, the Senior Software Engineer role on the same team is in today's list.
- 6+ years of experience building and operating distributed systems, with proficiency in Python, Go or a similar language.
- A strong background in software development and operating distributed systems.
- Experience operating Kubernetes in production and debugging below the abstraction layer, including scheduling, cluster networking and node level issues.
- Expertise in cloud infrastructure platforms: AWS, Google Cloud or Azure.
- A strong understanding of Linux internals and networking concepts such as TCP/IP, DNS, TLS and routing.
- A customer focused mindset and strong technical communication.
- A strong bias for efficient processes, operational simplicity and automation over manual work.
Counts as a bonus:
- 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.
- Virtualisation or workload isolation technologies.
The day to day: operating and improving the multi tenant Kubernetes infrastructure that runs customer workloads, building for reliability so services and infrastructure are available, resilient, fault tolerant and self healing, identifying and configuring the key metrics that detect incidents and quantify service health and performance, taking part in a 24/7 on call rotation to resolve platform infrastructure issues, and mentoring early career SREs while shaping the team's operational practices.
Experience: the posting states 6+ years.
On call: a 24/7 rotation is stated explicitly in the posting. Factor that in rather than discovering it at offer stage.
Location: Gurugram, hybrid. MongoDB states it wants candidates based in Gurugram for this model.
Who should apply: an SRE with six or more years who wants Kubernetes at multi tenant scale and is comfortable being early on a platform team, which means writing the operational practices rather than following them. If you would rather build the platform than run it, the Senior Software Engineer role on the same team is in today's list.
Apply on company site
Opens www.mongodb.com, the employer's own application page. Applying is always free.