Lead Engineer, Atlas Data Federation (Storage) - job 2 of 2

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026!). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern 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.

Atlas Data Lake (ADL) is a fully managed storage solution supporting large-scale analytics while maintaining the economics of cloud object storage. It automatically extracts data from MongoDB Atlas Clusters to isolate analytical workloads, allowing data scientists and business analysts to query analytical data without impacting production systems. It is also the foundation for Atlas Online Archive, which provides low-cost, tiered storage for querying infrequently-accessed data. By optimizing the storage layout for customer data during ingestion and rebalancing it as needed, Atlas Data Lake delivers great performance and scalability at reasonable cost for Atlas customers.

As the Team Lead for the ADL Storage team, you will be responsible for leading and growing the engineering team taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems underlying Atlas Data Lake. The ADL team prides itself on building high-quality software using clean abstractions, and lives MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. Our team is distributed across North America, supporting both in-office and remote work with convenient work hours for each time-zone.

If you are passionate about data management, distributed systems, and leadership, and are excited to work on high-impact, high-growth projects, we would love to hear from you. Join us as a Team Lead for the Atlas Data Lake Storage team and help us shape the future of analytics and data management!

This role can be based out of our New York City office or remotely in the US.

Successful candidates will have the following qualities

• Track record in hiring, mentoring and growing strong software engineering teams
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, mentor fellow engineers and lead projects
• Solid experience in designing, writing, testing, and maintaining distributed systems and/or data storage software. Professional or advanced academic expertise in the domains of distributed computing and/or data storage is preferable but not required
• Regardless of prior experience, they are willing, able, and excited to quickly learn new things in the domains of computer science and software engineering. They are curious about how people and organizations use MongoDB, and how MongoDB ADL could be improved to enable more use cases

Position Expectations

• Onboard onto a highly technical product as an individual contributor to gain product knowledge before taking on managerial responsibilities
• Actively participate in hiring for the ADL storage team
• Lead and grow other engineers to coordinate seamless changes in a large, feature-rich code base
• Work with product managers, program managers, and other teams to specify, prioritize and deliver new features that delight our users
• Estimate task complexity, report progress, and voice risks for projects executed by reports
• Understand and improve current functionality in ADL's data lake storage and processing system's performance and stability

Success Measures

• In the first month, you'll have understood the surface area, the high level architecture of the MongoDB ADL's Data Lake storage
• In three months, you'll have onboarded onto the team, and contributed to the design and development in Golang of a feature to be released to our customers
• In six months, you will have taken on full responsibility for projects slated for the subsequent quarter of ADL
• In nine months, you'll have initiated one-on-one's with your team members, started growth conversations with your team members and begun to understand their longer term career aspirations
• In twelve months, you'll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members. Additionally, you'll have contributed to the vision for the future of the ADL team and helped develop a plan to achieve that vision

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.