Job description
The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. 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 Search is a new cloud service that allows users to execute complex search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.
Our team is building a cloud-based distributed systems software responsible for the entire lifecycle of search including: data ingestion, partitioning, performance, availability, query language and aggregation. Our product is being adopted quickly and there are many interesting projects you can help with.
This role is based in the SF Bay Area - hybrid in office and remote and will report to the Director of Engineering, Search Systems.
Ideally you will be:
- Eager to impact and envision the technological future of a complex system
- Motivated by both technical challenges and the growth and development of your team
- Curious, collaborative, empathetic, and intellectually honest
- Experienced in developing distributed systems, cloud services and SaaS products
- Experienced in designing and maintaining search platforms or distributed databases is preferred but not required
- Experienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not required
You would get to:
- Build and design our integrated search platform, written in Java
- Lead and grow a team of engineers based in our San Francisco office
- Foster a positive and effective team culture
- Contribute to two leading open source platforms, MongoDB and Lucene
- Participate in product and architecture discussions
- Perform code reviews with peers and make recommendations on how to improve our code and software development processes
- Collaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projects
Success Measures:
- In 3 months, you'll familiarize yourself with your team members and contribute to the improvement of our core "mongot" and Mongo Management Service repos
- In 6 months, you'll be leading a small team of engineers and working on platform and architecture improvements
- In 12 months, you'll be building out your team by hiring new engineers and contributing to a long term product and engineering roadmap
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.
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