MongoDB Lead Engineer Atlas Stream Processing 

Canada, Ontario, Toronto 

710912711

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. enables processing streams of complex data using the same data model and Query API used in Atlas databases.

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

• 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

• 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

• 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.
• In three months, you’ll have on-boarded onto the team and contributed to the design and development of a feature
• In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have 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 Atlas Streams team and helped develop a plan to achieve that vision