MongoDB Logo

MongoDB

Senior Software Engineer, Developer Productivity

Reposted 8 Days Ago
Easy Apply
Hybrid
11 Locations
Mid level
Easy Apply
Hybrid
11 Locations
Mid level
The role involves enhancing developer productivity by creating solutions for cross-team challenges, building tools, and providing support within MongoDB's engineering environment. It requires collaboration, understanding customer needs, and mentoring junior team members.
The summary above was generated by AI

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, 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: 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:
$108,000$149,000 CAD

Top Skills

AWS
C++
Go
Kubernetes
Python

Similar Jobs at MongoDB

22 Hours Ago
Easy Apply
Hybrid
7 Locations
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
The Escalation Engineer at MongoDB will solve complex customer issues, mentor team members, and contribute to internal projects, requiring a strong technical background and customer leadership skills.
Top Skills: AWSAzureCC#C++GCPGoJavaJavaScriptLinuxNasNode.jsPythonRubySanSsd
22 Hours Ago
Easy Apply
Hybrid
6 Locations
Easy Apply
Expert/Leader
Expert/Leader
Big Data • Cloud • Software • Database
The role involves leading MongoDB's Networking Observability team, enhancing communication between distributed processes, optimizing resource utilization, and building observability features for MongoDB's database systems.
Top Skills: C++
2 Days Ago
Easy Apply
Hybrid
5 Locations
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
The Senior Site Reliability Engineer will help build, scale, and run applications on MongoDB Atlas, contributing to a supportive culture and employee growth.
Top Skills: AIAWSGCPAzureMongoDB

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account