招聘
Benefits & Perks
•Competitive salary and equity package
•Professional development budget
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Equity
•Learning
•Healthcare
Required Skills
Node.js
TypeScript
JavaScript
MongoDB is expanding a development team in North America working on tooling that helps customers migrate data from relational databases to MongoDB. Tools developed by the Data Migration team help application developers with schema modeling, type conversions, data sync, change data capture and so on.
MongoDB is looking for a software engineer with experience in the Java ecosystem and streaming systems to join the team. Our main technology stack includes Java, Spring Boot, Apache Kafka, and React. A successful candidate will collaborate closely with product management and engineers on the team to help drive the design and implementation of a cutting edge product.
This role will be based out of North America in the PST and MST zones only.
The ideal candidate for this role will have
-
2-3 years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
-
Experience with relational data modeling and at least one SQL database (Postgres, MySQL, etc)
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Basic familiarity with streaming systems such as Apache Kafka, AWS SQS, etc
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Basic familiarity with client-side technologies such as React
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Good understanding of algorithms, data structures and their time and space complexity
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Curiosity, a positive attitude, and a drive to continue learning
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Excellent verbal and written communication skills
Position Expectations
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Collaborate with product management, product designers and other engineers
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Contribute high quality and well-tested backend code to the data migration engine its surrounding services
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Participate in code reviews and team technical discussions
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Give and solicit feedback on technical design documents and pull requests
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Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
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Familiarised yourself with the MongoDB database and aggregation language
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Familiarised yourself with the backend tech stack including Java, Spring Boot, and Kafka
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Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
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Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
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Familiarised yourself with the rest of our codebase including the frontend stack, Confluent plugins, GitHub workflows, etc
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Worked on and delivered a medium scale feature in the product
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Contributed to and helped deliver a few releases of the product
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Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
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Familiarised yourself with the work of other teams within the department
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Delivered at least one large scale feature that spans the entire tech stack
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Helped recruit and interview new members of the team
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: 425547
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:$108,000—$149,000 CAD
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About MongoDB

MongoDB
PublicMongoDB, 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
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