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A leading database company is seeking an experienced engineer to join their Correctness Team. This role involves developing testing infrastructure and ensuring high-quality code. Candidates should have over 5 years of Python experience, a strong focus on distributed systems, and the ability to mentor others. The position can be based in Toronto or worked remotely from Ontario, offering a competitive salary and comprehensive benefits.
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 ease - this role is for you!
This role can be based out of our Toronto office or remotely in the Ontario region.
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. MongoDB’s 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 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, 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
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.