Engineering Manager, MongoDB

Atlas Stream Processing

CA$162-225k

Listed salary range applies to Canada only, and may vary in other locations

Kubernetes
C#
Java
Go
Senior and Expert level
Toronto
MongoDB

Developer data platform

Be an early applicant

MongoDB

Developer data platform

1001+ employees

B2BEnterpriseBig dataCloud Computing

Be an early applicant

CA$162-225k

Listed salary range applies to Canada only, and may vary in other locations

Kubernetes
C#
Java
Go
Senior and Expert level
Toronto

1001+ employees

B2BEnterpriseBig dataCloud Computing

Company mission

To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.

Role

Who you are

  • 5+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience with a compiled language (Java, C#, Go, etc.)
  • 2+ years of experience managing a team of 3+ engineers and providing technical leadership
  • Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
  • Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
  • Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
  • Have led the launch of new features and maintained them in production
  • Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and observability tools
  • Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
  • Eager to learn, with a strong technical background

What the job involves

  • We’re seeking a Lead Engineer for the Atlas Stream Processing team to provide technical direction, direct architecture decisions, and implement core parts of the new stream processing architecture that GA’d in the summer of 2024
  • Atlas Stream Processing 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
  • As a Team Lead on the Atlas Streams Platforms team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems underlying Atlas Streams
  • The Atlas Streams team prides itself on building high-quality software and lives MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition
  • Our team is distributed across North America, supporting both in-office and remote work with convenient work hours for each time zone
  • Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
  • Make coding contributions to the team’s projects
  • Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
  • Take responsibility for the planning and execution of major features, raise delivery risks
  • Own the monitoring, operations, and maintenance of the systems your team develops
  • Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
  • Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects
  • In the first month, you’ll have understood the surface area, the high level architecture of the Atlas Stream Processing. You’ll have initiated one-on-one’s with your team members
  • In three months, you’ll have on-boarded onto the team and contributed to the design and development of a feature
  • In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
  • In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members. Additionally, you’ll have contributed to the vision for the future of the Atlas Streams team and helped develop a plan to achieve that vision

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Insights

Top investors

13% employee growth in 12 months

Company

Company benefits

  • Rich health insurance coverage
  • Virtual & on-site fitness classes
  • Health screenings & telemedicine
  • Access to transgender-inclusive health insurance coverage
  • Global and internal mobility opportunities
  • Equity & Employee Stock Purchase Program
  • Pension & retirement programs
  • Income Protection
  • Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
  • Employee Assistance Program
  • Mental health counseling
  • Free meditation app access
  • Fertility & adoption financial assistance
  • Parental counseling for new parents
  • 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
  • 4 weeks of emergency care leave

Funding (last 2 of 8 rounds)

Jan 2015

$80m

SERIES G

Oct 2013

$150m

SERIES F

Total funding: $311.1m

Our take

MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.

Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.

Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.

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Freddie

Company Specialist at Welcome to the Jungle