Lead, Engineering at MONGODB INC

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

270000.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, Cloud Services, Technical Leadership, Software Engineering, Data Processing Systems, Query Execution, Storage Engines, Autotuning, Workload Optimization, Containerization, Orchestration Platforms, Kubernetes, Observability Tools, Collaboration, Mentoring, Career Development

Industry

Software Development

Description

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. We are looking to speak to candidates who are based in New York City for our hybrid working model. 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. 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 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. REQ ID: 3263273915 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $137,000—$270,000 USD

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Responsibilities

Lead and grow an engineering team while providing technical direction and making coding contributions. Manage the planning and execution of major features, ensuring the performance, scalability, and reliability of the systems developed by the team.