About the company
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.
Responsibilities
- Work with engineering teams across MongoDB to investigate gaps and limitations in existing development workflows and understand new infrastructure and platform requirements.
- Design self-service platform services and developer tooling that focuses on reliability, usability, and provides the appropriate level of abstraction from cloud infrastructure.
- 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).
Requirements
- 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.
- Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs.
- Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring less-senior engineers.
- 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.
Conditions
- Hybrid working model based in Gurugram.
- Success measures: In three months, familiarize with the environment and make regular contributions; in six months, successfully investigate, scope, execute, and document a medium to large sized platform project; in a year, drive platform adoption and become a subject matter expert in at least one component.