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Lead Engineer, Catalog & Routing

MongoDB

Lead Engineer, Catalog & Routing

MongoDB

Dublin

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Team events and activities

Professional development budget

Flexible work arrangements

Equity

Healthcare

Learning

Flexible Hours

Required Skills

PostgreSQL

Node.js

Python

The MongoDB Catalog and Routing team carries the important responsibility of hiding the complexity of building a distributed database system. They implement scalable interfaces with strong consistency guarantees that are used by other MongoDB developers to navigate and organize globally partitioned data. As a result, their work has a direct impact on the productivity of the entire organization and the success of MongoDB’s horizontal scaling strategy.

Recent work includes the ability to move unpartitionable data sets across multiple nodes without splitting a table’s keyspace, colocating cluster service in the same process in order to reduce resources consumption and operational complexity of running a sharded cluster, and the ability to perform concurrent data definition operations.

Are you excited by the prospect of tackling novel distributed systems challenges in a large scale distributed database system? We are! Join us today, and we can make databases scale for everyone.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Position Expectations

  • Manage a small team of individual contributors, responsible for ensuring their success, aiding their career growth, and facilitating their technical work

  • Foster a positive and effective team culture

  • Balance your time between coding, designing, mentorship, and leading your team

  • Use agile practices to deliver features on a predictable schedule

  • Maintain expertise on the state of the art in distributed systems

  • Aid Product Management in navigating difficult tradeoffs in prioritization

  • Collaborate with other server engineers, client drivers, cloud services, support, consulting, training, and marketing teams to coordinate changes

  • Identify, design, implement, test, and support new features related to horizontal scaling, data consistency, and disaster recovery, in a large feature-rich C++ codebase

  • Assist fellow engineers in, and be an advocate for, writing scalable and well-reasoned industrial-strength software

Success Measures

In three months

  • You've met with all of your team members and are starting to learn their interests, strengths, and areas for development

  • You’ll have contributed to a project slated for the next major version of the MongoDB server, as well as fixed a few bugs in a minor version of our latest stable release series

In six months

  • We'll be relying on you for code reviews and reviewing the designs for new features

  • You have worked with each team member to develop a growth plan tailored to their career goals

In twelve months

  • You’re leading the development of a new major feature

  • You have a clear understanding of the longer term roadmap and have integrated a plan to accomplish it with your team at MongoDB

  • You have established your role as a leader in the organization such that team members naturally go to you for guidance

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

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: 4263300990

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About MongoDB

MongoDB

MongoDB

Public

MongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.

5,000+

Employees

New York

Headquarters

$24.0B

Valuation

Reviews

3.7

2 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

3.0

Career

2.5

Management

3.5

25%

Recommend to a Friend

Pros

Practical experience with Node.js and MongoDB

Learning NoSQL database management

Web scraping experience

Cons

Poor application performance (5+ second response times)

Difficult job market with low interview rates

Unpaid internship opportunities

Salary Ranges

0 data points

Junior/L3

L3

L4

L5

L6

Senior/L5

Staff/L6

Director

Junior/L3 · Associate Product Manager

0 reports

$137,500

total / year

Base

-

Stock

-

Bonus

-

$116,875

$158,125

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 80%

Negative 20%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview

4

Final Round/Onsite

5

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience