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, 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! 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 collaborationProvides guidance and coaching to entry-mid level engineersTakes a software-driven approach to solving problems and routinely uses git to track progressFamiliar with software engineering principles, dependency injection, composition, and test driven developmentExperience 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 controllersExperienced performing deep technical analysis and fixing applications, systems, and networksStrong Linux and TCP / IP networking skillsSolid knowledge of cloud infrastructureExperience with configuration management tools and managing infrastructure through codeFamiliar with how to use CI / CD workflows and tooling to deploy production servicesExperience running containers in a production environment, preferably Kubernetes basedExperience with observability concepts and tooling, metrics, logging, traces, Prometheus, Grafana, OpenTelemetryHas 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 requirementsDesign self-service platform services and developer tooling that focuses on reliability, usability, and provides the appropriate level of abstraction from cloud infrastructureRegularly write and review automation, configuration management, and application codeAuthor and review functional specifications and scoping documents for large platform projects and servicesOwn and operate much of the internal development platform that runs MongoDBWork 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 requestsIn six months you'll have successfully investigated, scoped, executed, and documented a medium to large sized platform projectIn 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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