Software Engineer 3, Atlas Search Systems

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in Toronto, ON hybrid. Successful candidates will have the following qualities: - 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase - Experience developing distributed systems and cloud services - Experience with at least one modern statically typed programming language, and interest in working with Java - Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues - A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback - A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: - Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads - Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers - Have the opportunity to lead projects and own subsystems - Provide input on the team’s roadmap and help determine the architecture of our system Success measures: - In 3 months you’ll have a solid high-level understanding of what our team does and how we operate. You’ll have contributed to the development of an existing project and completed several small improvements or bug fixes - In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings - In 12 months you’ll have a thorough understanding of the systems our team owns and have led a small project. You’ll have proposed small improvements to our code, product, or team processes 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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: 426157 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. 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 off

2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase. Experience developing distributed systems and cloud services. Experience with at least one modern statically typed programming language, and interest in working with Java. Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues. A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback. A strong sense of ownership over their work, from initial design all the way through maintaining code in production.

Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads. Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers. Have the opportunity to lead projects and own subsystems. Provide input on the team’s roadmap and help determine the architecture of our system.