Senior Infosec Analyst jobs at Mongodb in Canada, Vancouver
MongoDB Senior Software Engineer Code Generation Canada, British Columbia, Vancouver
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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.
What You'll Do- 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.
These jobs might be a good fit
MongoDB Senior InfoSec Analyst Canada, British Columbia, Vancouver
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This role will be based remotely in North America on the West Coast.
We are looking for someone with the following skills- 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
These jobs might be a good fit
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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.
What You'll Do- 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.
These jobs might be a good fit
