MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We’re seeking a Senior Software Engineer for the Atlas Stream Processing team to develop and expand the new stream processing architecture that GA’d in the summer of 2024. It enables processing streams of complex data using the same data model and Query API used in Atlas databases.
Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds upon MongoDB’s integrated developer data platform; enabling developers to stand up a stream processor and database with just a few API calls and lines of code, all fully managed on Atlas. Our product is quickly gaining traction with customers and we are adding core features that you will contribute to and own. You will tackle complex distributed system problems with the goal of making our platform more scalable, reliable, and secure.
This role is based in Toronto - hybrid work model, 3+ days in office.
Position Expectations- Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service
- Design, build and deliver well-tested core pieces of the service in collaboration with other vested parties
- Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
- Mentor fellow engineers and assume ownership and accountability of projects
- Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
- 5+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Go and Java
- Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
- Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
- Good verbal and written technical communication skills, desire to collaborate with colleagues
- Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and Observability tools
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: 1263128295
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.
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The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
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Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
