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Lead Engineer – Atlas Stream Processing
Company | MongoDB |
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Location | San Francisco, CA, USA |
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Salary | $137000 – $270000 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Senior, Expert or higher |
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Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and observability tools