Engineers at MongoDB collaborate in delivering a one-of-a-kind, cloud scale,
performant, and popular developer data platform. The Correctness Team at MongoDB
is a part of a collective Developer Productivity group that helps developers
innovate and iterate with speed and confidence. Specifically, the Correctness
Team designs, implements, integrates, and maintains the testing infrastructure
tooling, frameworks, and strategies that help MongoDB’s engineers ensure their
products deploy with the highest measures of correctness and quality.
We’re looking for an individual who has a deep empathy for engineering teams,
cares strongly about quality code and products, and effectively scaling
development. Specifically if you are passionate about distributed systems
testing, elegant and robust software design, and improving the developer
feedback loop with speed and ease - this role is for you!
This role can be based out of our Toronto office or remotely in the Ontario
region.
OUR IDEAL CANDIDATE WILL HAVE
- 5+ years hands-on experience with Python (or related language) programming
experience in industry
- Experience in developer productivity or related infrastructural-focused role
- Strong experience and knowledge of testing techniques focused on distributed
systems
- A demonstrated expertise of solid UX-focused design of CLIs for scalability
and maintainability
- A track record for mentoring team members
- A proven ability to set and execute the vision for projects that have hit
scaling limits
- An appetite for continuous learning and improvement
- A deep empathy and eagerness to understand and solve customer problems
- A proven track record of ownership and drive from idea generation through
idea execution
- Experience working with remote teams
BONUS POINTS IF THE CANDIDATE HAS EXPERIENCE WITH:
- Software ecosystems that contain and routinely run a large number of tests,
from unit-level through end-to-end
- Database (or other large system) integration testing frameworks
- Test fuzzing
- TLA+ and its applications
- C++, Java, and/or Go
- Sanitizers and other static analysis tooling
- Kubernetes testing
- Software Architecture and Design Principles
RESPONSIBILITIES
- Take ownership of large areas of testing infrastructure
- Design and develop critical features to evolve our test frameworks and tools
- Produce and execute on strategies that reduce technical debt through
iterative and strategic quality of life improvements
- Meaningfully contribute to cohesive strategies to enable the development
organization to build with confidence using the right tool for the job
- Mentor and grow other developers
- Show deep empathy towards other developers to understand their pain points
and provide impactful solutions
- Onboard quickly and successfully into unfamiliar tools and systems
- Collaborate productively with colleagues at all stages of project lifecycle
(ideation, requirements gathering, design, execution, and delivery)
SUCCESS MEASURES
- Within 1 month, you will have completed several small engineering tasks. You
will also have a very high-level understanding of the developer experience
for the Server and Cloud teams at MongoDB
- Within 3 months, you will have core contributions to at least one feature.
You will have a good understanding of the team's mission and goals
- In 6 months you will be proposing improvements for developer experience. You
will be taking responsibility for upcoming projects
- In 12 months, you will be mentoring other developers. You will be designing
and leading projects
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,
[https://www.mongodb.com/company] 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
[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: 3263246842
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:
$137,000—$189,000 CAD
