MongoDB
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. Join the MongoDB Server Query Integration team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the experience and performance of data processing. We are responsible for building user-facing features on top of the core query engine and helping to integrate query with other products in the MongoDB ecosystem. This includes enhancing our time-series product, extending language support for analytics, helping grow our Atlas Search and Vector Search products with database support and adding workload telemetry to provide greater insight into how our database is used. We have a presence across the US and in-office presence in New York and Seattle. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, lexical and vector search and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. This role can be based out of our NYC headquarters. Candidate Profile 10+ years of experience in data management systems Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain Position Expectations Be directly responsible for delivering on goals which span a 6-18 month timeframe Play a key role in defining the roadmap for the next 12 months Research state-of-the art query systems to inform our design Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction Advise management on decisions related to roadmap, processes, architecture and design Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Influence and grow team members through active mentoring, coaching and leading by example Help cultivate a strong talent bench through interviewing, mentoring and knowledge sharing Success Measures In three months you'll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system In six months, you'll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team 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. MongoDB's base salary range for this role in the U.S. is: $137,000 - $270,000 USD * indicates a required field First Name * Last Name * Email * Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Preferred Name * Website LinkedIn Profile Github StackExchange Would you like to stay up to date with MongoDB Culture and Careers content? Select... How did you learn about this job? Select... If you answered MongoDB Employee, MongoDB Event, or Other, please specify here: Receive alerts for similar jobs? Select... Will you now or in the future require employment sponsorship? * Select... Have you ever worked at MongoDB before? * Select... U.S. Voluntary Demographic Survey At MongoDB, we believe in fostering an environment where diverse perspectives can grow and thrive. We are committed to creating a culture of inclusion and a sense of belonging by seeking and valuing employees from different backgrounds. One of our core values as a company is to Embrace the Power of Differences. In the spirit of inclusion, below is a set of voluntary demographic questions. The information collected is for compliance reporting purposes and internal data analysis only. Your responses help us remain compliant and identify areas for improvement in our recruiting processes. If you choose to self-identify, your responses will not be used in any hiring or subsequent employment decision. While answering the questions is required, you will have the option to select "I don't wish to answer" for each question. This information, should you choose to provide it, will be collected, stored and processed in accordance with MongoDB's Privacy Notice as applicable. Please see our Privacy Notice here . Reporting requirements in the United States currently only allow MongoDB to report applicant and employee gender as either male or female . Candidates will have the opportunity to provide further detail about their gender identity in the second survey question should they so choose. For more information on Voluntary Self-Identification of Disability, please review the information found here . For more information to determine Protected Veteran status, please review the information found here . To all recruitment agencies: MongoDB does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or MongoDB employees. MongoDB is not responsible for any fees related to unsolicited resumes. Please note that we will only communicate with our job applicants by using @ and @greenhouse.io domains. We will never contact applicants from any other email address, including @gmail addresses. You may always view the most current and accurate job postings at MongoDB by visiting our website at . #J-18808-Ljbffr