The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education.
We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in!
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Our ideal candidate
2+ years of experience managing and mentoring a team of 3+ engineers
Has 5+ years of experience owning the design and implementation of large software/infrastructure projects
Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred)
Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable
Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration
Strong experience operating production Kubernetes clusters, not just deployed to it
Has practical experience defining and operating against SLI/SLOs for services they owned
Strong experience with observability tooling: metrics, logging, traces, Prometheus, Grafana, OpenTelemetry
Strong Linux and TCP/IP networking skills
Familiar with standard authentication protocols (OAuth, OIDC)
Familiar with web services and/or Kubernetes controller development
Strong experience using CI/CD workflows to deploy production services
Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs
Position Expectations
Define, plan, and execute projects that help to run, grow, and transform MongoDB's self-service internal developer platform
Take on direct reports and organize work for a team of platform engineers in coordination with other engineering leads
"Lead by example" and act as a mentor to other engineers
Work with engineering teams across MongoDB to investigate gaps and limitations in existing development workflows and understand new infrastructure and platform requirements
Regularly write and review automation, configuration management, and application code
Author and review functional specifications and scoping documents for large platform projects and services
Own and operate much of the internal development platform that runs MongoDB
Work on a distributed team that frequently interacts with remote engineers across multiple time zones (PST, EST, GMT, IST)
Success Measures
In three months you'll have familiarized yourself with our teams and systems, taken on direct reports, and will be participating in high level scoping and roadmapping for platform projects
In six months you'll have successfully investigated, scoped, and documented medium to large sized platform projects, and coordinated implementation with your direct reports
In a year you'll have delivered measurable key results driven by a deep understanding of the goals/mission of Infrastructure Engineering, the needs of our stakeholders, and the objectives of MongoDB
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,
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