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Lead Engineer

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.

MongoDB Atlas is our developer data platform that accounts for 65% of the company’s revenue. It allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes, as well as set up APIs, deploy applications, visualize data and more.

The Role

We are seeking a Lead Engineer to guide the technical direction and support the growth of the Atlas Growth Platforms team at MongoDB. This team builds and maintains the infrastructure behind experimentation, service configuration, and partner integrations that shape key moments in the Atlas user journey and drive measurable impact across our growth funnel.

As a Lead Engineer, you’ll be responsible for ensuring your team delivers high-quality, scalable backend services and intuitive frontend experiences that empower teams across MongoDB to experiment rapidly and make informed decisions. You will own both the success of the systems your team builds and the people you lead - striking the balance between project delivery, mentoring, long-term architectural investment, and individual career development.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

Responsibilities

  • Support the career growth of your direct reports through coaching, feedback, and opportunity creation. Model MongoDB’s core values & leadership principles while fostering psychological safety, inclusive culture, and accountability
  • Lead the delivery of high-impact infrastructure for experimentation, configuration, and 3rd-party integrations. Set realistic and ambitious goals for your team while helping proactively manage scope, dependencies, and risks
  • Provide technical design reviews and balance hands-on contributions to complex systems involving A/B testing, data pipelines, feature flags, and partner integrations
  • Partner closely with Product, Analytics, Engineering teams, and other stakeholders to help define and drive a roadmap aligned with business outcomes
  • Ensure observability, scalability, and maintainability of your team’s systems. Lead retrospectives, support incident response, and cultivate a culture of continuous improvement. Support the team’s 24/7 on-call rotation by being in the escalation path
  • Represent your team’s needs and priorities in organization-wide discussions. Foster strong partnerships across engineering, product, and GTM functions
  • Hire, onboard, and retain exceptional engineers. Assess team capacity regularly and ensure knowledge sharing and load balancing across the team

Basic Qualifications

  • 5+ years of professional software development experience and 3+ years of engineering management or team leadership of >3 engineers
  • Expertise in building backend systems in compiled languages (Java, Go, C#) and fluency with frontend technologies (React/TypeScript preferred)
  • Solid understanding of distributed systems, data pipelines, and service-oriented architecture
  • Track record of delivering complex projects with cross-functional impact
  • Proven ability to mentor and grow engineers while holding a high bar for quality and collaboration

Preferred Skills

  • Experience running or building frameworks for large-scale A/B testing
  • Familiarity with analytics platforms (e.g. Segment, Amplitude) and data-driven product development
  • Proficiency with Kubernetes and cloud-native infrastructure
  • Prior work on partner or platform integrations, such as embedding services in cloud provider marketplaces (e.g. Azure, GCP, AWS)
  • Strong product intuition and a passion for experimentation infrastructure

Success Measures

You’ll know you’re successful in this role if within:

  • 3 months: You’ve earned your team’s trust, started guiding and learning from engineers, and delivered an initial enhancement or fix to our experimentation, configuration, and/or partner integrations systems.  You are leading team syncs and retrospectives
  • 6 months: You’re leading strategic planning and designing quarterly plans, while unblocking your team on technical and execution challenges.  You are leading performance and growth conversations with your reports
  • 12+ months: You’ve grown the impact of the team through great hires, informed delegation, and improved engineering practices, while influencing broader direction through your cross-functional partnerships and technical leadership

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: 1263125243

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

Average salary estimate

$203500 / YEARLY (est.)
min
max
$137000K
$270000K

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, MongoDB

At MongoDB, we are on a mission to empower innovators to disrupt industries using the power of software and data, and we're looking for a Lead Engineer to join our dynamic NYC team! In this pivotal role, you'll guide the technical direction and support the growth of our Atlas Growth Platforms team, which is crucial for shaping user experiences that drive our company's success. Here, you'll build and maintain the infrastructure for experimentation and partner integrations, ensuring we deliver high-quality, scalable backend services while also crafting intuitive frontend experiences. We pride ourselves on fostering a collaborative and inclusive culture where your leadership will not only influence project outcomes but also support the personal and professional growth of your team members. As a Lead Engineer at MongoDB, you will take ownership of diverse projects, providing technical expertise on complex systems including A/B testing and data pipelines, while collaborating closely with Product and Analytics teams to achieve ambitious goals. Your experience will help cultivate a team that thrives on innovative problem-solving and continuous improvement. If you’re passionate about leading a talented group of engineers and excited about driving meaningful change in technology, we’d love to chat! Here’s your chance to make an impact with MongoDB, where we value your journey every step of the way.

Frequently Asked Questions (FAQs) for Lead Engineer Role at MongoDB
What are the responsibilities of a Lead Engineer at MongoDB?

As a Lead Engineer at MongoDB, you'll guide the Atlas Growth Platforms team's technical direction, ensuring that high-quality, scalable backend services and intuitive frontend experiences are delivered. You'll also mentor your team members, balance project delivery with individual career development, and collaborate with stakeholders to define roadmaps that align business outcomes with technical capabilities.

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What qualifications do I need to apply for the Lead Engineer position at MongoDB?

To qualify for the Lead Engineer position at MongoDB, candidates should have over 5 years of professional software development experience, including at least 3 years of engineering management or leadership of teams of more than three engineers. Expertise in building backend systems using compiled languages (Java, Go, C#) and familiarity with frontend technologies, particularly React and TypeScript, is essential.

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What skills are preferred for a Lead Engineer at MongoDB?

Preferred skills for a Lead Engineer position at MongoDB include experience with A/B testing frameworks, familiarity with analytics platforms like Segment or Amplitude, and proficiency with Kubernetes and cloud-native infrastructure. A strong product intuition and a passion for experimentation in infrastructure are also highly valued.

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How does MongoDB support the growth of Lead Engineers?

MongoDB is committed to the career growth of its Lead Engineers by providing opportunities for coaching, feedback, and mentorship. You'll have access to resources that support inclusive growth, and you'll be encouraged to model and instill the company’s core values and leadership principles within your team.

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What is the work culture like for Lead Engineers at MongoDB?

The work culture at MongoDB emphasizes psychological safety, inclusiveness, and accountability. As a Lead Engineer, you'll be part of a supportive environment that fosters growth, values employee wellbeing, and encourages innovative thinking while aligned with organizational goals.

Join Rise to see the full answer
Common Interview Questions for Lead Engineer
Can you describe a challenging engineering project you led at your previous job?

When answering this question, focus on the complexity of the project, your leadership role, and the impact of the project results. Outline your problem-solving strategies, collaboration with stakeholders, and how you overcame any obstacles.

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How would you approach mentoring a team member who is struggling with their performance?

Discuss your strategy for providing constructive feedback, fostering an open dialogue, and setting measurable improvement goals. Highlight the importance of supporting growth while maintaining accountability.

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What techniques do you use for effective cross-functional collaboration?

Talk about your approaches to building relationships with Product, Analytics, and Engineering teams. Discuss methods for ensuring clear communication, aligning goals, and driving projects forward with effective teamwork.

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Can you explain how you would ensure the scalability and maintainability of your engineering systems?

Share your strategies for design reviews, proactive monitoring, and implementing best practices in coding standards and documentation. Highlight your experience with continuous improvement processes and incident response.

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Describe a time when you had to balance project delivery with team development?

Provide an example that showcases your ability to prioritize both project timelines and team growth, demonstrating how you fostered an atmosphere of learning and improvement while achieving project goals.

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What is your experience with cloud-native infrastructure?

Highlight specific projects or technologies you have worked with, such as Kubernetes or AWS. Discuss how these experiences can contribute to your success as a Lead Engineer at MongoDB.

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How do you evaluate the success of a project?

Explain your criteria for measuring project success, such as meeting business outcomes, stakeholder satisfaction, and post-implementation performance metrics. Share examples where your evaluations led to future improvements.

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What role does data play in your decision-making process?

Discuss the importance of data-driven decision-making and provide examples of analytical platforms or methodologies you've used to inform your strategy. Highlight your experience implementing solutions based on data insights.

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How do you stay updated with evolving technology trends?

Emphasize your commitment to continuous learning through industry events, online courses, and communities. Mention any specific areas of technology you're excited about and how you apply insights to your work.

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How do you manage team dynamics during high-pressure situations?

Describe your strategies for maintaining morale and productivity under pressure. Stress the importance of communication, support, and fostering a team environment that encourages open discussion and brainstorming under tight timelines.

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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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DATE POSTED
April 20, 2025

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