Data Infrastructure Engineer

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

The Developer Productivity Infrastructure team is a member of our DevProd Platforms group. Our team owns the cloud infrastructure for DevProd, and we’re expanding our focus to include a Data Platform. Some of the challenges our team faces is being able to maintain the infrastructure that allows many thousands of hosts to be created and destroyed a day, maintain DevProd’s sizable Atlas footprint, and being able to respond quickly to meet the needs of our users. 

What will this position do?

This position is located in the MongoDB Developer Productivity organization, and specifically within the Platform group within DevProd. The mission of DevProd is to empower MongoDB developers to efficiently build a transformative data platform that is provably high quality, secure, performant, and releasable on-schedule.

We are looking for someone that’s familiar with both the data domain, and infrastructure. Our team has a big mission to build a data platform for MongoDB R&D to use to make data-informed decisions. We’re just at the start of our journey and are looking for a new team member to join us that can take on the job of making sure that our fledgling data platform is stable, secure, scalable, self-healing, and durable.

Here’s what we expect of you:

• Understand SQL at an advanced level and are able to review SQL statements from other teams
• Have experience with distributed computing frameworks, such as Hadoop or Spark.
• Have experience with data pipelines and workflow management tools (for example, Airbyte)
• Are able to write easy to maintain code and documentation in at least one language. (We’re a golang shop.)
• Know how to leverage CI/CD systems to deploy and make changes to an already existing data platform infrastructure
• Are able to use infrastructure-as-code tools to create self-healing systems. (We use Terraform)
• Understand the problem domain of cloud-native infrastructure for data services, and keeps your knowledge up to date as the industry evolves
• Can lead small-to-medium sized projects independently, while keeping your Lead (Manager) and various stakeholders up-to-date
• Can own the infrastructure of our data platform, and uses your knowledge to keep it stable, performant, durable, and secure
• Always be willing to jump in and use your knowledge and skills to resolve issues, hopefully before our users even notice

What would make you stand out:

• Love the challenge of dealing with large amounts of fast-moving data
• In addition to advanced SQL knowledge, you’re familiar with MQL. (MongoDB Query Language)
• You know several programming languages, including Go, Java and Python
• Have an open mind and a willingness to adapt infrastructure designs over time as our needs change and grow
• Are able to work with container orchestration systems, such as Kubernetes, even if you aren’t (yet!) an expert in it
• Have an understanding of telemetry data. We use OpenTelemetry and like to make things as visible as we can
• You are well-versed in data reliability and integrity best practices
• You maintain a working knowledge of the data-focused offerings from our cloud providers, and are able to make recommendations as new technologies emerge
• You have a deep knowledge of Linux and TCP/IP networking
• You can help our team win the game of “Apache Project or Fictional Dinosaur-Like Cartoon Character?”

Other things you might want to know:

• We’re a distributed team. Our Platform team is located mostly in the EDT and PDT time zones, but we work with other teams all over the world
• Our team is remote-first. We use tools like Slack and Zoom to work together. We try to get together on occasion, but our day-to-day is all remote (If you live close to one of our offices, and would like to use it, that’s okay, too!)
• We have a lot of data that’s generated every day. Our internal CI system, Evergreen, runs millions of tests daily
• One of the challenges we’re facing is figuring out how to take those millions of daily test results and determine which tests are the most beneficial to run
• Our customers are all internal to MongoDB. We’re in the nice position where we can easily talk to our users
• You’d have a chance to join our team at the very early stages of our data platform. We have a big dream and mission, and you’d get to help us design and implement it along the way
• You’d get a chance to look at some very large MongoDB instances

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.