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.
We're looking for a Software Engineer with a strong background in computer
science fundamentals and systems design to join our engineering team. In this
role, you will play a key part in building and optimizing the underlying data
structures, algorithms, and database interactions that power our generative AI
platform and code generation tools. This involves crafting sophisticated
orchestration layers, robust integration points, and high-performance data
systems that seamlessly connect and leverage advanced AI capabilities for code
generation. While our immediate focus is on this domain, this role emphasizes
strong foundational engineering principles that apply broadly to complex,
high-performance systems. Deep prior experience with AI models or machine
learning is not a requirement; your strong grasp of core computer science is
what matters most, and you'll be given ample time and resources to build
expertise in the AI domain. You will work on critical components that ensure the
scalability, efficiency, and reliability of our services, collaborating closely
with AI researchers and other engineers to translate complex requirements into
robust technical solutions.
As a Software Engineer on our team, you'll be hands-on with implementation and
problem-solving, working with engineers across experience levels to build a
robust, scalable system. The focus is on performance, correctness, and
architectural excellence in a rapidly evolving, data-intensive environment.
Many organizations have built up large estates of legacy applications. Lack of
scalability and resilience, long development times, operating costs, and
inability to run on the cloud are common issues with these applications. To
address these issues, organizations are engaging in large transformational
Application Modernization programs. MongoDB is recognized as the developer data
platform of choice for transactional systems that provide the best scalability,
resiliency, and developer experience in the cloud and on-premises. Organizations
continuously migrate workloads from these legacy applications to new platforms,
often based on microservices, using MongoDB.
Such transformations are very time-intensive and often risky. MongoDB is
bolstering its team by creating tools that guide customers in transitioning
their applications from relational databases to MongoDB. As businesses evolve
their application development frameworks, they're increasingly drawn to the
versatility of the document model. The Application Modernization team, already
instrumental in this area, aids developers in making the shift from relational
databases to MongoDB via Relational Migrator
[https://www.mongodb.com/products/tools/relational-migrator]. Now, they're
broadening their toolkit and are keen on modernizing code using a mix of AI and
traditional text processing.
This role can be based out of our MongoDB offices or remotely in the US and
Canada.
WHAT YOU'LL DO
- Implement and optimize high-performance data structures and algorithms for
core components of our generative AI orchestration platform
- Design and develop efficient data pipelines and storage solutions for AI
model integration and output processing
- Collaborate with AI researchers and machine learning engineers to understand
data needs
- Identify and address performance bottlenecks and architectural challenges in
our systems, particularly within data flow and orchestration
- Contribute to platform features like data versioning, efficient data
retrieval, and ensuring data integrity for AI-generated code and related
metadata
- Participate in code reviews, design discussions, and contribute to the
overall technical direction of the team
- Work to develop robust and efficient backend services that orchestrate AI
functionalities
WHO YOU ARE
- 2+ years of engineering experience in backend systems, distributed systems,
or core platform development
- Strong foundation in data structures and algorithms, with experience applying
them to solve problems
- Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a
strong understanding of systems-level programming, memory management, and
performance tuning
- Experience working on backend systems, with an understanding of system
availability and performance
- Ability to diagnose and troubleshoot technical issues in production
environments
- Excellent problem-solving skills and the ability to work effectively in a
fast-paced, collaborative environment
- Proven ability to collaborate across disciplines and experience levels, from
researchers to junior engineers
- Proficiency with SQL (preferably Oracle), including querying, schema design,
and database optimization
- You have a strong desire to understand complex problem spaces and own
solutions
NICE TO HAVE
- Familiarity with cloud-native distributed systems (e.g., Kubernetes, Kafka)
- Experience with NoSQL databases and understanding of their trade-offs is
great, but not required. We'll teach you NoSQL
- Contributions to relevant open-source projects
SUCCESS MEASURES
Within the first three months, you will have:
- Familiarise yourself with the MongoDB database and aggregation language
- Familiarise yourself with the problem space and the domain
- Set up software development infrastructure (tech stack, build tools, etc) to
enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Worked on and delivered a complex code generation feature in the product
- Contributed to and helped deliver a few product releases
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Consistently delivered features and bug fixes across our tech stack
- Helped recruit and interview new members of the team
- Collaborated with other teams at 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
[https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb],
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 [https://www.mongodb.com/blog/channel/culture], 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: 425570
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—$179,000 CAD
