Senior Software Engineer, Atlas Search Systems

MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications 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.

We are looking to speak to candidates who are based in Toronto for our hybrid working model.

Candidate Profile

• 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
• Proficient in modern programming languages and techniques
• Experienced in developing distributed systems, cloud services, and SaaS products
• Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers
• 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

• Build and design our integrated search platform, written in Java
• 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
• Lead projects and own subsystems
• Help determine the team’s roadmap and the architecture of our system

Success measures

• In 3 months you’ll have contributed to the development of an existing project and completed several 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 the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes

About MongoDB

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2273501136

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 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

$158,000 — $220,000 CAD