Have worked on production-grade web applications and be capable of making backend improvements in languages such as Python and Go
Have experience building tools and platforms for business users and software developers
Have experience with or working knowledge of cloud platforms and services
Enjoy working on full stack applications including UI/UX, API Design, databases and more
Looking for a high impact role with variety of opportunities to drive adoption of data via services and tooling
Passionate about developing reliable and high quality software
Curious, collaborative and intellectually honest
A great team player
What you will do
Design and build UI, API and other data platforms services for data users including but not limited to analysts, data scientists and software engineers
Work closely with product design teams to make improvements to the internal data platform services with an emphasis on UI/UX
Perform code reviews with peers and make recommendations on how to improve our code and software development processes
Design boilerplate architecture that can abstract underlying data infrastructure from end users
Further improve the team’s testing and development processes
Document and educate the larger team on best practices
Help drive optimization, testing, and tooling to improve data platform quality
Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single day
Bonus Points
Have experience with modern Javascript environment including frontend frameworks such as React and Typescript
You are familiar with data infrastructure and toolings such as Presto, Hive, Spark and BigQuery
You are familiar with deployment and configuration tools such as Kubernetes, Drone, and Terraform
You are interested in web design and have experience directly working with product designers
You have experience designing and building microservices
You have experience building a machine learning platform using tools like SparkML, Tensorflow, Seldon Core, etc.
Success Measures
In three months you will have familiarized yourself with much of our data platform services, be making regular contributions to our codebase, will be collaborating regularly with stakeholders to widen your knowledge, and helping to resolve incidents and respond to user requests
In six months you will have successfully investigated, scoped, executed, and documented a small to medium sized project and worked with stakeholders to make sure their user experiences are vastly enhanced by implementing improvements to our platform services
In a year you will have become the key person for several projects within the team and will have contributed to not only the data platform’s roadmap but MongoDB’s data-driven journey You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture