MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
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 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!
This role can be based out of our Barcelona office or remotely in Spain.
Our ideal candidate Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration Provides guidance and coaching to entry-mid level engineers Takes a software-driven approach to solving problems and routinely uses git to track progress Familiar with software engineering principles, dependency injection, composition, and test driven development Experience designing/implementing medium/large scale software projects (preferably with Go) Familiar with standard authentication protocols (e.g OAuth) Familiar with the development of web services and/or Kubernetes controllers Experienced performing deep technical analysis and fixing applications, systems, and networks Strong Linux and TCP/IP networking skills Solid knowledge of cloud infrastructure Experience with configuration management tools and managing infrastructure through code Familiar with how to use CI/CD workflows and tooling to deploy production services Experience running containers in a production environment, preferably Kubernetes based Experience with observability concepts and tooling, metrics, logging, traces, Prometheus, Grafana, OpenTelemetry Has practical knowledge of delivering production level services with SLI/SLOs and understands how to measure, track and adjust them Position Expectations 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 (primarily PST/EST/GMT) Success Measures In three months you'll have familiarized yourself with much of our environment and will be able to whiteboard important pieces of our platform on the fly. You will also be making regular contributions to our tooling/services and jumping in to help resolve incidents and respond to user requests.
In six months you'll have successfully investigated, scoped, executed, and documented a medium to large sized platform project.
In a year you'll have used your deep knowledge of our software and infrastructure to help drive platform adoption across the company. You will also be a subject matter expert in at least one component of our platform, and will have made a number of sizable contributions to our code base that significantly improve the quality, reliability and maintainability of our systems.
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