Lead Engineer, Atlas Stream Processing

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 and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

We’re seeking a Lead Engineer for the Atlas Stream Processing team to provide technical direction, direct architecture decisions, and implement core parts of the new stream processing architecture that GA’d in the summer of 2024. Atlas Stream Processing enables processing streams of complex data using the same data model and Query API used in Atlas databases.

Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds upon MongoDB’s integrated developer data platform; enabling developers to stand up a stream processor and database with just a few API calls and lines of code, all fully managed on Atlas. Our product is quickly gaining traction with customers and we are adding core features that you will contribute to and own. 

As a Team Lead on the Atlas Streams Platforms team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems underlying Atlas Streams. The Atlas Streams team prides itself on building high-quality software 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.

The position is open for our in office, flexible, or fully remote working models in the United States.

Position Expectations

• Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
• Make coding contributions to the team’s projects
• Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
• Take responsibility for the planning and execution of major features, raise delivery risks
• Own the monitoring, operations, and maintenance of the systems your team develops
• Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
• Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects

Qualifications

• 5+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience with a compiled language (Java, C#, Go, etc.)
• 2+ years of experience managing a team of 3+ engineers and providing technical leadership
• Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
• Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
• Have led the launch of new features and maintained them in production
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and observability tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

Success Measures

• In the first month, you’ll have understood the surface area, the high level architecture of the Atlas Stream Processing. You’ll have initiated one-on-one’s with your team members.