Jobs at Mongodb in Canada, Vancouver

We're looking for a Software Engineer with a strong background in computer science fundamentals and systems design to join our engineering team. In this role, you will play a key part in building and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform and code generation tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation. While our immediate focus is on this domain, this role emphasizes strong foundational engineering principles that apply broadly to complex, high-performance systems. Deep prior experience with AI models or machine learning is not a requirement; your strong grasp of core computer science is what matters most, and you'll be given ample time and resources to build expertise in the AI domain. You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers and other engineers to translate complex requirements into robust technical solutions.

As a Software Engineer on our team, you'll be hands-on with implementation and problem-solving, working with engineers across experience levels to build a robust, scalable system. The focus is on performance, correctness, and architectural excellence in a rapidly evolving, data-intensive environment.

• Implement and optimize high-performance data structures and algorithms for core components of our generative AI orchestration platform
• Design and develop efficient data pipelines and storage solutions for AI model integration and output processing
• Collaborate with AI researchers and machine learning engineers to understand data needs
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Contribute to platform features like data versioning, efficient data retrieval, and ensuring data integrity for AI-generated code and related metadata
• Participate in code reviews, design discussions, and contribute to the overall technical direction of the team
• Work to develop robust and efficient backend services that orchestrate AI functionalities

• 2+ years of engineering experience in backend systems, distributed systems, or core platform development
• Strong foundation in data structures and algorithms, with experience applying them to solve problems
• Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience working on backend systems, with an understanding of system availability and performance
• Ability to diagnose and troubleshoot technical issues in production environments
• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
• Proven ability to collaborate across disciplines and experience levels, from researchers to junior engineers
• Proficiency with SQL (preferably Oracle), including querying, schema design, and database optimization
• You have a strong desire to understand complex problem spaces and own solutions

• Familiarity with cloud-native distributed systems (e.g., Kubernetes, Kafka)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Within the first three months, you will have:

• Familiarise yourself with the MongoDB database and aggregation language
• Familiarise yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Worked on and delivered a complex code generation feature in the product
• Contributed to and helped deliver a few product releases
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Consistently delivered features and bug fixes across our tech stack
• Helped recruit and interview new members of the team
• Collaborated with other teams at MongoDB

We're looking for a Senior Engineer with a strong background in computer science fundamentals and systems design to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform and code generation tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation. While our immediate focus is on this domain, this role emphasizes strong foundational engineering principles that apply broadly to complex, high-performance systems.
Deep prior experience with AI models or machine learning is not a requirement; your strong grasp of core computer science is what matters most, and you'll be given ample time and resources to build expertise in the AI domain. You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers and other engineers to translate complex requirements into robust technical solutions.

As a Senior Engineer, you'll be hands-on with design and implementation, while working with engineers across experience levels to build a robust, scalable system. The focus is on performance, correctness, and architectural excellence in a rapidly evolving, data-intensive environment.

• Design, implement, and optimize high-performance data structures and algorithms for core components of our generative AI orchestration platform.
• Design and develop efficient data pipelines and storage solutions for AI model integration and output processing.
• Collaborate with AI researchers and machine learning engineers to understand data needs.
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration.
• Contribute to platform features like data versioning, efficient data retrieval, and ensuring data integrity for AI-generated code and related metadata.
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design.
• Participate in code reviews, design discussions, and contribute to the overall technical direction of the team.
• Work to develop robust and efficient backend services that orchestrate AI functionalities.

• 5+ years of engineering experience in backend systems, distributed systems, or core platform development.
• Deep expertise in data structures and algorithms, with a proven track record of applying them to solve complex problems.
• Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning.
• Experience designing and building highly available, low-latency systems.
• Ability to diagnose and troubleshoot complex technical issues in production environments.
• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
• Proven ability to collaborate across disciplines and experience levels, from researchers to junior engineers.
• Deep understanding of SQL ( preferably Oracle ), including advanced querying, schema design, and database optimization for performance and scalability.
• You have a strong desire to understand complex problem spaces and own solutions.

• Familiarity with cloud-native distributed systems (e.g., Kubernetes, Kafka).
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL.
• Contributions to relevant open-source projects.

Within the first three months, you will have:

• Familiarise yourself with the MongoDB database and aggregation language.
• Familiarise yourself with the problem space and the domain.
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks.
• Started collaborating with your peers and contributed to code reviews.

Within six months, you will have:

• Worked on and delivered a large-scale code generation feature in the product.
• Contributed to and helped deliver a few product releases.
• Reviewed and contributed to scope and technical design documents.

Within 12 months, you will have:

• Delivered large-scale features across our entire tech stack.
• Helped recruit and interview new members of the team.
• Collaborated with other teams at MongoDB.

• Lead a distributed, regional team of Technical Account Managers and Named Technical Services Engineers, taking full ownership of their success, engagement, and professional growth
• Actively recruit, interview, and hire top-tier technical talent. You will set a high bar for excellence and embrace the power of differences to build a diverse, inclusive, and high-performing team that reflects our core values
• Provide continuous, dedicated mentorship and coaching. You will leverage and evolve our job matrix to create clear, actionable development plans, guiding each team member's growth and ensuring they have a clear path to achieving their career aspirations

• Champion and instill the TAM "Fundamental Principles"—Context, Frictionlessness, Comprehensiveness, Efficiency, and Empathy—across your team, ensuring these principles guide every customer interaction and deliver a consistent, world-class experience
• Drive operational rigor across the TAM focus areas: Issues, Initiatives, Product, GTM, and Operations. You will ensure your team effectively balances day-to-day problem solving with the execution of long-term, strategic initiatives that drive account progress
• Create a culture of accountability by setting high standards and clear performance expectations. You will inspect outcomes often, provide regular and constructive feedback, and ensure your team is relentless in its pursuit of meaningful impact and delivering on commitments

• Serve as the primary leadership point of contact for customer escalations within your portfolio. You will manage high-pressure situations with a calm, authoritative presence that de-escalates tension, embraces adversity as an opportunity for growth, and engenders trust with both internal and external stakeholders
• Partner closely with regional Sales and Customer Success leaders to align on account strategy, proactively identify and mitigate technical risks, and contribute to the overall health and commercial success of the GTM motion
• Synthesize cross-customer insights, emerging technical risks, and strategic opportunities from your team's engagements. You will act as a powerful and credible voice for our most important customers, providing strategic feedback to Product Management and Engineering leadership to influence the platform's direction

• Proven experience in management and leadership, with a palpable passion for building, mentoring, and growing small to mid-sized technical teams in a rapidly evolving environment
• A leadership philosophy that is centered on the belief that a team's well-being and success is a leader's primary metric
• Genuine desire to develop your people, with demonstrated experience in performance management, career coaching, and creating an inclusive environment where every team member feels valued and is set up for success

• Exceptional communication skills, both written and verbal, with a practiced ability to communicate with clarity
• Ability to deliver messages to diverse audiences, from deeply technical engineers to line-of-business stakeholders and C-level executives
• Experience acting as a trusted, collaborative partner to GTM and Sales counterparts, with an ability to read, understand, and contribute to strategic account plans

• Strong diagnostic and troubleshooting process and your ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Able to present a commanding presence during escalated situations, reducing anxiety through calm, authoritative technical leadership
• Highly focused on outcomes and are obsessed with comprehensiveness, driving your team to ensure No Issue Left Behind and that tricky cases are pursued holistically through to a complete and final resolution

• Strong technical background and deep credibility in one or more core domains, such as software development, application design, systems administration, or database architecture
• While you don't need to be the foremost expert on every topic, you must have the technical depth to guide a team of specialists and earn their respect
• Be insatiably curious, never stop learning, and have the ability to quickly understand and communicate about complex customer workloads, use cases, and architectures

• Lead with Empathy, always assuming good intent and working to understand the diverse perspectives of your team, your cross-functional partners, and your customers
• Intellectually Honest, embracing reality and encouraging different points of view, even when they disconfirm your own beliefs
• Engender trust by leading with humility, admitting mistakes, and welcoming honest, constructive feedback as a tool for growth

• Experience managing globally distributed or remote-first teams
• Direct experience building or scaling a Technical Account Management, Premium Support, or Customer Success Engineering function within an enterprise software company
• Deep familiarity with consumption-based or SaaS business models and the associated customer success motions
• Hands-on experience using or managing MongoDB in a large-scale production environment
• Familiarity with the modern enterprise technology landscape, including containerization and orchestration (e.g., Kubernetes), CI/CD tools, and major cloud service platforms (AWS, Azure, or GCP)
• Experience managing development projects or contributing to the creation of internal technical tooling and documentation

You will have completed our comprehensive leadership onboarding, built strong, trusting relationships with each of your direct reports, and established a deep understanding of your team's customer portfolio, key initiatives, and active risks. You will have established your operating rhythm for team meetings, 1:1s, and performance feedback.

You will be confidently managing your team's workflow and performance, providing regular, insightful coaching based on the TAM Competency Framework. You will be effectively managing customer escalations and will have established yourself as a trusted, proactive partner to your peers in Sales, Customer Success, and Professional Services.

This role will be based remotely in North America on the West Coast.

• Displayed experience in security operations, incident response, and threat hunting disciplines
• Practical knowledge of common threats and exposures to web applications and services
• Experience with detection / incident tooling or automation workflow optimization
• Proficient in cloud ecosystems, including tools, technologies, and how to secure them
• Proven experience in operating & maintaining SIEM, SOAR, and EDR; developing queries and alerts
• Accustomed to performing investigations, analysis and communicating the events or incidents to proper stakeholders clearly
• Experience deploying tooling to advance investigation tactics and incident response across different environments ie; corporate environments and cloud environments
• A strong understanding of MacOS, Linux, and Windows security
• Love to learn; you are motivated to learn about security and tinkering
• Experience interfacing with technical and non-technical individuals. Ability to adjust the level of technicality depending on the audience
• GIAC, CEH, GSOC certificates

• Drive maturity of Operations by suggesting overall improvements ie; playbooks, detections, automations, and gaps critical in working with other teams and departments
• Strong understanding of fedRAMP security alerts
• Leverage and maintain automation workflows, and enriching discoveries and detections
• Utilizing analysis frameworks (ie; MITRE) to better understand gaps, and work towards closing those gaps
• Displayed experience in responding to FEDRAMP security alerts
• Maintain, improve, and configure Information Security Operations tooling and alerts
• Develop and maintain well written documentation and playbooks
• Work cross functionally with multiple teams deploying tooling, establishing new processes, or improving existing processes
• Ability to quickly learn new Information Security concepts and adapt to a modern, fast-paced organization
• Mentor and train others on the team to level up. We will all grow together
• Participate in weekly on-call rotations