Lead Engineer, Query Careers at MongoDB - New York City, New York; Palo Alto, California; Seattle, Washington | Apply Now!
MongoDB
Lead Engineer, Query Careers at MongoDB - New York City, New York; Palo Alto, California; Seattle, Washington | Apply Now!
Job Description
Lead Engineer, Query Careers at MongoDB
Join MongoDB as a Lead Engineer, Query and shape the future of the modern developer data platform. Work on cutting-edge transactional, time-series, and analytical workloads that power 75% of Fortune 100 companies and AI-native startups worldwide. This leadership role offers direct impact on MongoDB's query engine—the heart of our globally distributed NoSQL database.
Role Overview
MongoDB is the database for modern applications, redefining data management for the AI era. As Lead Engineer, Query, you'll manage a high-performing engineering team tackling complex problems in query optimization, distributed systems, and performance scaling. Based in New York City, Palo Alto, Seattle, or remote in the US, you'll blend hands-on coding with strategic leadership.
Expect to contribute code to major MongoDB server releases, mentor engineers, and guide the product roadmap. Success is measured by team delivery, individual growth plans, and establishing yourself as a trusted leader within 12 months.
Key Responsibilities at MongoDB
- Lead and manage a team of software engineers, driving their technical success and career development
- Contribute production code to MongoDB server projects, including new features and critical bug fixes
- Provide architectural guidance on query engine design and system scalability improvements
- Remove blockers by coordinating dependencies across MongoDB's engineering organization
- Plan team growth through hiring, resource allocation, and strategic project assignments
- Foster team culture by leading through example and prioritizing engineer happiness
- Deliver accurate timelines and maintain transparent communication with executive leadership
- Conduct code/design reviews to maintain MongoDB's world-class engineering standards
- Create growth plans tailored to each team member's professional aspirations
Qualifications & Requirements
- Proven experience building production-scale systems serving massive user bases with robust architecture
- Computer Science degree or equivalent, with expertise in data structures, algorithms, and software design
- Strong proficiency in C++ or similar systems programming languages for database kernels
- Demonstrated success managing engineering teams in high-growth tech companies
- Passion for mentorship, coaching, and building collaborative engineering cultures
- Experience with NoSQL databases, query optimization, or distributed systems preferred
Salary & Benefits
MongoDB offers competitive compensation for Lead Engineer, Query roles ranging from $220,000 - $350,000 base salary (depending on experience and location), plus equity, bonuses, and comprehensive benefits. Standout perks include:
- Competitive Equity with stock options and RSUs
- Wellness Programs covering mental and physical health
- MongoDB University for free certifications and skill-building
- Global Family Leave and fertility assistance
- Employee affinity groups, 401(k) matching, unlimited PTO
Why Join MongoDB?
MongoDB powers the next era of software with our cloud-native Atlas platform across AWS, Google Cloud, and Azure. Serving nearly 60,000 customers, you'll work on workloads that modernize legacy systems and unleash AI innovation. Our Leadership Commitment fosters a supportive culture prioritizing employee growth and wellbeing.
From onsite offices in tech hubs to remote US flexibility, MongoDB invests in your success. Join a team where innovators thrive and make a global impact.
How to Apply
Ready to lead query engineering at the world's most popular NoSQL database? Apply now for the Lead Engineer, Query position. Submit your resume highlighting C++ experience, team leadership, and database projects. MongoDB is an equal opportunity employer committed to diversity. Request accommodations as needed.
This role offers immediate impact on MongoDB's core query engine. Top candidates will be contacted within 48 hours.
Locations
- New York City, New York, United States
- Palo Alto, California, United States
- Seattle, Washington, United States
- United States, United States (Remote)
Salary
231,000 - 385,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- C++ Programmingintermediate
- MongoDB Query Optimizationintermediate
- NoSQL Database Architectureintermediate
- Distributed Systems Engineeringintermediate
- Team Leadership & Managementintermediate
- Data Structures & Algorithmsintermediate
- Software Design Patternsintermediate
- Time-Series Data Processingintermediate
- Analytical Workload Optimizationintermediate
- Transactional Database Systemsintermediate
- Code Review & Mentorshipintermediate
- Production-Scale Systemsintermediate
- Performance Tuningintermediate
- Agile Project Managementintermediate
Required Qualifications
- Experience building production-level code with large user base, robust design, and rigorous code quality standards (experience)
- Degree in Computer Science or equivalent practical experience with strong data structures, algorithms, and software architecture competencies (experience)
- Proficiency in C++ or similar low-level programming languages for high-performance database systems (experience)
- Proven experience managing small engineering teams in fast-paced tech environments (experience)
- Passion for team leadership, career mentorship, coaching, and fostering engineering excellence (experience)
- Deep understanding of database query engines, optimization techniques, and workload handling (experience)
Responsibilities
- Manage a team of software engineers, ensuring their success, career growth, and technical productivity
- Contribute hands-on coding to team's critical projects and bug fixes in MongoDB server releases
- Provide expert feedback on system architecture and new feature designs for query engine
- Eliminate technical barriers, coordinate cross-team dependencies, and maintain team happiness
- Plan organizational growth including resource allocation, hiring strategies, and project assignments
- Set and exemplify positive team culture through leadership and consistent actions
- Estimate project timelines accurately and communicate progress effectively to upper management
- Participate in code and design reviews to uphold MongoDB's high engineering standards
- Develop individualized growth plans for each team member aligned with their career goals
Benefits
- general: Competitive Equity packages with stock options and RSUs
- general: Comprehensive Wellness Programs including mental health support
- general: MongoDB University for ongoing professional development and certifications
- general: Global Family Leave with generous parental leave policies
- general: Fertility assistance and family planning benefits
- general: Employee affinity groups for diversity and inclusion
- general: Hybrid and remote work flexibility across US locations
- general: Medical, dental, and vision insurance with low premiums
- general: 401(k) matching and financial wellness programs
- general: Unlimited PTO and flexible vacation policies
Tags & Categories
Answer 10 quick questions to check your fit for Lead Engineer, Query Careers at MongoDB - New York City, New York; Palo Alto, California; Seattle, Washington | Apply Now! @ MongoDB.
Related Books and Jobs
Lead Engineer, Query Careers at MongoDB - New York City, New York; Palo Alto, California; Seattle, Washington | Apply Now!
MongoDB
Lead Engineer, Query Careers at MongoDB - New York City, New York; Palo Alto, California; Seattle, Washington | Apply Now!
Job Description
Lead Engineer, Query Careers at MongoDB
Join MongoDB as a Lead Engineer, Query and shape the future of the modern developer data platform. Work on cutting-edge transactional, time-series, and analytical workloads that power 75% of Fortune 100 companies and AI-native startups worldwide. This leadership role offers direct impact on MongoDB's query engine—the heart of our globally distributed NoSQL database.
Role Overview
MongoDB is the database for modern applications, redefining data management for the AI era. As Lead Engineer, Query, you'll manage a high-performing engineering team tackling complex problems in query optimization, distributed systems, and performance scaling. Based in New York City, Palo Alto, Seattle, or remote in the US, you'll blend hands-on coding with strategic leadership.
Expect to contribute code to major MongoDB server releases, mentor engineers, and guide the product roadmap. Success is measured by team delivery, individual growth plans, and establishing yourself as a trusted leader within 12 months.
Key Responsibilities at MongoDB
- Lead and manage a team of software engineers, driving their technical success and career development
- Contribute production code to MongoDB server projects, including new features and critical bug fixes
- Provide architectural guidance on query engine design and system scalability improvements
- Remove blockers by coordinating dependencies across MongoDB's engineering organization
- Plan team growth through hiring, resource allocation, and strategic project assignments
- Foster team culture by leading through example and prioritizing engineer happiness
- Deliver accurate timelines and maintain transparent communication with executive leadership
- Conduct code/design reviews to maintain MongoDB's world-class engineering standards
- Create growth plans tailored to each team member's professional aspirations
Qualifications & Requirements
- Proven experience building production-scale systems serving massive user bases with robust architecture
- Computer Science degree or equivalent, with expertise in data structures, algorithms, and software design
- Strong proficiency in C++ or similar systems programming languages for database kernels
- Demonstrated success managing engineering teams in high-growth tech companies
- Passion for mentorship, coaching, and building collaborative engineering cultures
- Experience with NoSQL databases, query optimization, or distributed systems preferred
Salary & Benefits
MongoDB offers competitive compensation for Lead Engineer, Query roles ranging from $220,000 - $350,000 base salary (depending on experience and location), plus equity, bonuses, and comprehensive benefits. Standout perks include:
- Competitive Equity with stock options and RSUs
- Wellness Programs covering mental and physical health
- MongoDB University for free certifications and skill-building
- Global Family Leave and fertility assistance
- Employee affinity groups, 401(k) matching, unlimited PTO
Why Join MongoDB?
MongoDB powers the next era of software with our cloud-native Atlas platform across AWS, Google Cloud, and Azure. Serving nearly 60,000 customers, you'll work on workloads that modernize legacy systems and unleash AI innovation. Our Leadership Commitment fosters a supportive culture prioritizing employee growth and wellbeing.
From onsite offices in tech hubs to remote US flexibility, MongoDB invests in your success. Join a team where innovators thrive and make a global impact.
How to Apply
Ready to lead query engineering at the world's most popular NoSQL database? Apply now for the Lead Engineer, Query position. Submit your resume highlighting C++ experience, team leadership, and database projects. MongoDB is an equal opportunity employer committed to diversity. Request accommodations as needed.
This role offers immediate impact on MongoDB's core query engine. Top candidates will be contacted within 48 hours.
Locations
- New York City, New York, United States
- Palo Alto, California, United States
- Seattle, Washington, United States
- United States, United States (Remote)
Salary
231,000 - 385,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- C++ Programmingintermediate
- MongoDB Query Optimizationintermediate
- NoSQL Database Architectureintermediate
- Distributed Systems Engineeringintermediate
- Team Leadership & Managementintermediate
- Data Structures & Algorithmsintermediate
- Software Design Patternsintermediate
- Time-Series Data Processingintermediate
- Analytical Workload Optimizationintermediate
- Transactional Database Systemsintermediate
- Code Review & Mentorshipintermediate
- Production-Scale Systemsintermediate
- Performance Tuningintermediate
- Agile Project Managementintermediate
Required Qualifications
- Experience building production-level code with large user base, robust design, and rigorous code quality standards (experience)
- Degree in Computer Science or equivalent practical experience with strong data structures, algorithms, and software architecture competencies (experience)
- Proficiency in C++ or similar low-level programming languages for high-performance database systems (experience)
- Proven experience managing small engineering teams in fast-paced tech environments (experience)
- Passion for team leadership, career mentorship, coaching, and fostering engineering excellence (experience)
- Deep understanding of database query engines, optimization techniques, and workload handling (experience)
Responsibilities
- Manage a team of software engineers, ensuring their success, career growth, and technical productivity
- Contribute hands-on coding to team's critical projects and bug fixes in MongoDB server releases
- Provide expert feedback on system architecture and new feature designs for query engine
- Eliminate technical barriers, coordinate cross-team dependencies, and maintain team happiness
- Plan organizational growth including resource allocation, hiring strategies, and project assignments
- Set and exemplify positive team culture through leadership and consistent actions
- Estimate project timelines accurately and communicate progress effectively to upper management
- Participate in code and design reviews to uphold MongoDB's high engineering standards
- Develop individualized growth plans for each team member aligned with their career goals
Benefits
- general: Competitive Equity packages with stock options and RSUs
- general: Comprehensive Wellness Programs including mental health support
- general: MongoDB University for ongoing professional development and certifications
- general: Global Family Leave with generous parental leave policies
- general: Fertility assistance and family planning benefits
- general: Employee affinity groups for diversity and inclusion
- general: Hybrid and remote work flexibility across US locations
- general: Medical, dental, and vision insurance with low premiums
- general: 401(k) matching and financial wellness programs
- general: Unlimited PTO and flexible vacation policies
Tags & Categories
Answer 10 quick questions to check your fit for Lead Engineer, Query Careers at MongoDB - New York City, New York; Palo Alto, California; Seattle, Washington | Apply Now! @ MongoDB.
Related Books and Jobs