Software Engineer, MongoDB

• We are looking to speak to candidates who are based in New York City for our hybrid working model
• You have worked on production-grade building applications and are capable of making backend improvements in languages such as Python and Go
• You have experience building tools and platforms for business users and software developers
• You have experience with or working knowledge of cloud platforms and services
• You enjoy working on full stack applications including UI/UX, API Design, databases and more
• You’re looking for a high impact and growth role with variety of opportunities to drive adoption of data via services and tooling
• You’re passionate about developing reliable and high quality software
• You’re curious, collaborative and intellectually honest
• You’re a great team player

Desirable

• MongoDB is growing rapidly and seeking a Software Engineer for the Data Platform team to be a key contributor to the overall internal data platform at MongoDB
• The Data Platform team focuses on building reliable, flexible, and high quality data infrastructure such as a streaming platform, ML platform, and experimentation platform to enable all of MongoDB to utilize the power of data
• As a Software Engineer, you will design and build a scalable data platform to help drive MongoDB’s growth as a product and as a company, while also lending your technical expertise to other engineers as a mentor and trainer
• You will tackle complex platform problems with the goal of making our platform more scalable, reliable, and robust
• 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
• 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