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Lead Engineer, Atlas Stream Processing - job 1 of 3

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.

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

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 is an equal opportunities employer.

Req ID: 1263088564

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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:
$162,000$225,000 CAD

Average salary estimate

$193500 / YEARLY (est.)
min
max
$162000K
$225000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Engineer, Atlas Stream Processing, MongoDB

Join MongoDB as a Lead Engineer in the Atlas Stream Processing team, based in Toronto, where your expertise will shape the future of data processing. Imagine leading a talented team as you dive into the intricacies of our powerful developer data platform, MongoDB Atlas! Here, you’ll not only provide technical direction but also influence critical architectural decisions that will be rolled out next summer. Your main mission will be to improve and enhance the performance, scalability, and reliability of distributed systems that power Atlas Streams. In a role that champions collaboration, you'll work closely with product managers, design teams, and engineers to define and deliver compelling features that resonate with developers around the world. MongoDB values innovation, and as part of our dynamic team, you’ll foster an environment of growth and creativity while advancing your career. With flexible work models – whether in-office, remote, or hybrid – you’ll find a balance that works for you. If you’re passionate about mentoring and driving technical projects while managing a stellar team, this role is a perfect fit! Dive into knowledge-sharing and let your leadership shine at MongoDB as you help us empower the innovators of tomorrow.

Frequently Asked Questions (FAQs) for Lead Engineer, Atlas Stream Processing Role at MongoDB
What are the main responsibilities of a Lead Engineer at MongoDB?

As a Lead Engineer at MongoDB, you will oversee a team of software engineers, guiding their success and facilitating their technical work. Your role involves making direct coding contributions, collaborating with various teams on feature definitions, and taking charge of project planning and execution. You will also monitor and maintain the systems developed by your team, ensuring efficient operations and the removal of technical obstacles. Ultimately, your leadership will foster the growth and development of your team while enhancing the Atlas Stream Processing platform.

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What qualifications are required for the Lead Engineer position at MongoDB?

To qualify as a Lead Engineer at MongoDB, you should have at least 5 years of experience in building distributed systems or cloud services, paired with experience in a compiled language such as Java, C#, or Go. Additionally, 2+ years of experience managing a team of engineers is essential, along with a proven track record in mentoring and developing high-performing teams. Excellent communication skills and a strong background in core components for data processing systems are critical for succeeding in this role.

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What is the working environment like for a Lead Engineer at MongoDB?

At MongoDB, the working environment is collaborative and flexible, offering a mix of in-office, remote, and hybrid working options. The Atlas Stream Processing team is distributed across North America, promoting inclusivity and convenience for each time zone. The company values its employees’ well-being, providing a supportive culture that encourages personal growth and career development. You’ll thrive in an atmosphere where intellectual curiosity and teamwork are celebrated.

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How does MongoDB support the career growth of its Lead Engineers?

MongoDB is committed to the professional growth of its Lead Engineers through dedicated mentorship and continuous learning opportunities. By managing a diverse team, you'll initiate one-on-ones with team members to understand their career aspirations, enabling you to support their paths effectively. Additionally, you'll have roles in planning organizational growth and resource allocation, further deepening your leadership experience and skillset within the tech community.

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What impact will Lead Engineers have on MongoDB's Atlas Stream Processing initiative?

Lead Engineers play a pivotal role in the Atlas Stream Processing initiative by taking charge of high-visibility projects that aim to enhance the platform's performance and scalability. You'll be responsible for driving the development of new features and improvements based on customer feedback and market needs, positioning MongoDB as a leader in stream processing technology. By fostering innovation, you'll significantly contribute to the mission of empowering developers worldwide.

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Common Interview Questions for Lead Engineer, Atlas Stream Processing
Can you explain a challenging project you managed as a Lead Engineer at MongoDB?

When discussing a challenging project, highlight your role in managing the team dynamics, the technical challenges faced, and the strategies you implemented to overcome them. Focus on the successful outcomes and how your leadership directly impacted the project's delivery and team growth.

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How do you prioritize tasks in a busy engineering team?

To prioritize tasks effectively, utilize methods like the Eisenhower matrix or Agile frameworks. Discuss how you assess the urgency and impact of tasks while factoring in team capacity and deadlines. Highlight your approach to communicating priorities clearly to the team and how you adapt to changes.

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What experience do you have with distributed systems?

Share specific examples from your previous roles where you designed, built, or maintained distributed systems. Focus on challenges you faced, technologies used, and how you ensured system reliability and scalability, reinforcing your hands-on expertise in the domain.

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Can you describe a time when you improved team performance?

When addressing this question, provide a narrative that showcases your leadership style. Discuss how you identified areas for improvement, the actions you took to enhance collaboration or communication, and the measurable outcomes that followed. Illustrate your belief in developing team potential.

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How do you ensure high-quality software delivery?

Emphasize your commitment to quality by speaking about implementing rigorous testing processes, code reviews, and leveraging automation tools. Discuss how you cultivate a culture of responsibility and accountability within the team, driving a collective effort towards excellence in software delivery.

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What role does mentoring play in your approach as a Lead Engineer?

Discuss your passion for mentoring by sharing stories of how you have guided junior engineers in technical skills and career development. Explain how mentoring contributes to team cohesion, personal growth, and the long-term success of both individuals and the team as a whole.

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How do you handle disagreements within your engineering team?

Demonstrate your problem-solving approach by explaining how you encourage open dialogue to resolve disagreements. Mention your techniques for facilitating constructive discussions, creating a safe environment for differing perspectives, and how consensus can lead to stronger collaboration.

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What tools do you use for monitoring and maintaining distributed systems?

Share specific tools and technologies you've used for monitoring, logging, and visualization in distributed systems. Discuss how these tools help maintain system health, identify performance issues, and support proactive maintenance strategies, illustrating your technical expertise.

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How do you stay updated with the latest trends in technology?

Mention the resources and communities you engage with, such as tech blogs, webinars, conferences, or professional networks. Explain how staying informed enables you to introduce innovative ideas to your team and adapt to evolving industry standards.

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Can you share your approach to incorporating user feedback into product development?

Highlight your method of gathering user feedback through various channels and how you analyze this information to inform product decisions. Discuss examples where user insights have led to meaningful changes or feature enhancements, showcasing your user-centric approach.

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MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.

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Full-time, hybrid
DATE POSTED
April 13, 2025

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