Geared toward senior engineers with Java and distributed systems expertise comfortable with leading projects in Toronto's hybrid model.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from MongoDB
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 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, 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
Source: MongoDB careers