Full-Time

Lead Engineer

Storage Layer Services

Confirmed live in the last 24 hours

MongoDB

MongoDB

5,001-10,000 employees

Database platform for developers and businesses

Data & Analytics
Enterprise Software

Compensation Overview

$137k - $270kAnnually

Senior, Expert

Remote in USA

Role can be based out of NYC headquarters, office hub locations, or remotely in the United States/Canada.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Rust
Data Structures & Algorithms
Java
Go
Requirements
  • 3+ years of experience managing teams of software engineers. This includes people-management responsibilities such as hiring, performance and growth management, compensation planning, mentoring and growing strong software engineering teams
  • 8+ years of experience building production-level code with a large user base, robust design structure, and rigorous code quality. Experience in data management systems and systems integration is ideal
  • Demonstrates excellent verbal and written technical communication skills and desire to collaborate with colleagues, mentor fellow engineers and lead projects
  • Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
  • Solid experience in designing, writing, testing, and maintaining highly distributed systems and/or data storage software. Professional or advanced academic expertise in the domains of data storage is preferable but not required
  • Experience with large backend/compiled codebases and compiled languages, preferably in Rust/Go/Java
  • Regardless of prior experience, they are willing, able, and excited to quickly learn new things in the domains of computer science and software engineering. They are curious about how people and organizations use MongoDB, and how MongoDB storage services could be improved to enable more use cases.
Responsibilities
  • Onboard onto a highly technical product as an individual contributor to gain product knowledge before taking on managerial responsibilities
  • Actively participate in hiring for the Storage Layer Services team
  • Lead and grow other engineers to coordinate seamless changes in a growing, feature-rich code base
  • Implement and operate (oncall) production-ready applications
  • Work with product managers, program managers, and other teams to specify, prioritize and deliver new features that delight our users
  • Estimate task complexity, report progress, and voice risks for projects executed by reports
  • Ensure that the team is running smoothly by helping to eliminate technical barriers, coordinating with other teams regarding dependencies, and focusing on the overall happiness of the team
  • Contribute to planning for organizational growth, including allocation of engineering resources, future hiring plans, and assignment of projects
  • Lead the design and implementation of new functionality in Storage Layer Service product’s availability and stability
  • Estimates the delivery timeline for projects, and communicates well with upper management regarding project execution
Desired Qualifications
  • Professional or advanced academic expertise in the domains of data storage is preferable but not required

MongoDB provides a modern database platform that helps developers and businesses create applications quickly and efficiently. Its main product is the MongoDB database, which features a flexible document data model that allows for easy data management and rapid application development. Additionally, MongoDB offers Atlas, a fully-managed cloud database service, along with other integrated services. This platform is popular among various industries, including technology, finance, healthcare, and retail, due to its high availability, data integrity, and strong security features. Unlike many competitors, MongoDB's pricing model combines subscription and usage-based options, catering to a wide range of clients from startups to large enterprises. The company's goal is to empower innovation by providing a scalable and secure database solution while fostering a diverse workplace culture that encourages unique perspectives.

Company Stage

IPO

Total Funding

$302.6M

Headquarters

New York City, New York

Founded

2007

Growth & Insights
Headcount

6 month growth

0%

1 year growth

5%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased AI adoption drives demand for MongoDB's complex data handling capabilities.
  • Multi-cloud strategies boost opportunities for MongoDB Atlas across diverse environments.
  • Real-time data processing needs enhance MongoDB's appeal in finance and healthcare.

What critics are saying

  • Competition from cloud-native providers like Snowflake and Databricks is intensifying.
  • Dependence on major tech partnerships could pose vulnerabilities if partnerships change.
  • Data sovereignty laws may limit MongoDB's market reach and complicate operations.

What makes MongoDB unique

  • MongoDB offers a flexible document data model for rapid application development.
  • MongoDB Atlas provides a fully-managed cloud database service for scalability and flexibility.
  • Recognized as a leader in cloud database management systems by Gartner in 2024.

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Benefits

Family Support Programs

Flexible PTO

Fertility and Adoption Assistance

Employee Affinity Groups

Transgender Benefits and Support

Mental Health

Wellness Events and Programs

Global Mobility