דרושים ב-Mongodb ב-Canada

• 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

• 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

• 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

This role can be based out of our Toronto office or remotely in the Ontario region.

• 5+ years hands-on experience with Python (or related language) programming experience in industry
• Experience in developer productivity or related infrastructural-focused role
• Strong experience and knowledge of testing techniques focused on distributed systems
• A demonstrated expertise of solid UX-focused design of CLIs for scalability and maintainability
• A track record for mentoring team members
• A proven ability to set and execute the vision for projects that have hit scaling limits
• An appetite for continuous learning and improvement
• A deep empathy and eagerness to understand and solve customer problems
• A proven track record of ownership and drive from idea generation through idea execution
• Experience working with remote teams

• Software ecosystems that contain and routinely run a large number of tests, from unit-level through end-to-end
• Database (or other large system) integration testing frameworks
• Test fuzzing
• TLA+ and its applications
• C++, Java, and/or Go
• Sanitizers and other static analysis tooling
• Kubernetes testing
• Software Architecture and Design Principles

• Take ownership of large areas of testing infrastructure
• Design and develop critical features to evolve our test frameworks and tools
• Produce and execute on strategies that reduce technical debt through iterative and strategic quality of life improvements
• Meaningfully contribute to cohesive strategies to enable the development organization to build with confidence using the right tool for the job
• Mentor and grow other developers
• Show deep empathy towards other developers to understand their pain points and provide impactful solutions
• Onboard quickly and successfully into unfamiliar tools and systems
• Collaborate productively with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)

• Within 1 month, you will have completed several small engineering tasks. You will also have a very high-level understanding of the developer experience for the Server and Cloud teams at MongoDB
• Within 3 months, you will have core contributions to at least one feature. You will have a good understanding of the team's mission and goals
• In 6 months you will be proposing improvements for developer experience. You will be taking responsibility for upcoming projects
• In 12 months, you will be mentoring other developers. You will be designing and leading projects

This role will be based remotely in the United States.

• Knowledge of cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) and operating systems (Linux, Windows, macOS)
• Understanding of the components and potential security weaknesses of large-scale SaaS applications and modern distributed systems architectures
• Experience working closely with defenders to identify and fix problems and develop innovative solutions to detecting potential security issues
• Love to learn; you are motivated to learn about security and tinkering
• Experience communicating with technical and non-technical individuals
• Offensive Security Certified Professional(OSCP) certification, or equivalent

• Develop security tests and assessments based on a solid understanding of MongoDB’s technical environment and services architecture
• Create realistic tabletop exercises based on an up-to-date understanding of threats and vulnerabilities relevant to the MongoDB business
• Continuously test the security features of MongoDB Atlas in order to validate controls and recommend enhancements
• Collaborate closely with detection engineering, vulnerability management, and incident response in order to operationalize the benefits of red team discoveries
• Write detailed summaries and reports for both technical and non-technical / executive audiences

This role can be based hybrid out of our Toronto office.

• 7+ years experience working in Customer Success, Account Management, Client Services or other similarly customer-centric role
• A background and passion for advocating on behalf of your customers - this role should act as an extension of our customers team within MongoDB
• A mind for technology - we’ll teach you about MongoDB and databases, but our customers and product are inherently technical and you should have an aptitude and curiosity to learn about those concepts
• The ability to act with a high level of autonomy, you will be expected to take full ownership of your customer portfolio and make key decisions to drive effective customer outcomes; including deciding when to include our executive team or c-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict and advocating to internal teams including sales, professional services, etc
• An entrepreneurial mindset - you will be required to both deviate from established procedure and often build entirely new process or practices to ensure we best serve this customer segment
• Team player and passion for collaboration - this role will work with some of our most strategic growth customers so must align closely to Sales, Professional Services, Tech Services, and the broader MDB ecosystem
• Prior exposure to database, cloud, and infrastructure technology is a plus

• Work as a strategic advisor to your customer providing them with guidance on MongoDB best practices and their overall technology strategy; this could include running enablement sessions alone or with another internal MongoDB team members, advising the customer on strategies to optimize their technical environment or current spend with MongoDB, positioning and recommending product features and best practices to accelerate customers time to value and growth
• Collect feedback and identify roadblocks from customers to inform internal teams including Product, Professional Services, and Leadership on how MongoDB can build a stronger product and go to market organization
• Act as the link between our customers and product engineering to develop new innovative solutions. You will be key in building the future roadmap of our product by acting as the Product team’s eyes and ears in this field
• De-escalate and resolve critical customer issues and complaints by finding the best possible solution for both the customer and MongoDB; this could include anything from navigating a customer outage that has a financial impact on their business, to helping an application team devise a custom MongoDB solution or implementation for their critical application, no day is the same
• Build and execute account plans to mitigate risk and drive growth 3+ quarters out across your portfolio
• Lead in-person executive business reviews for strategic customers in your portfolio, including interfacing with C-suite executives and other technical leaders to align to business objectives and agree to a mutual success plan
• Work on strategic internal projects to help build the Customer Success program; our expectation is that anyone in this role has strong business acumen and the ability to create and teach best practices, new process, and enablement to the broader organization
• Document all customer interactions in internal systems, including Gainsight and Salesforce.com
• Provide feedback and guidance to leadership on key signals within MongoDB Atlas that indicate healthy or unhealthy customer accounts; as our product evolves, we’ll need to be constantly adjusting our engagement strategies based on these signals, which you’ll be in the best position to identify and share back with internal teams
• Manage the relationship with Sales Leadership and Account Executives in your territory, including reporting on business performance, training on best practices, and rolling out program updates to ensure sales people and leaders are abreast of best practices for interacting with Customer Success
• Forecast expected churn and growth to your senior leadership team
• Help interview, onboard and ramp new team members - as a more senior team member you will have an immediate role in who joins the team
• Act as a leader amongst your peers, running enablement sessions, product certifications and being vocal in team meetings to ensure those around you grow

• Have 4+ years of experience writing high-quality software
• Have experience implementing libraries or applications in Java, or other languages that run on the JVM
• Are fascinated by, and have experience working with concurrency, parallelism and distributed systems
• Want to participate in open-source software development and communities
• Communicate well, internally and externally, both in writing and face-to-face
• Advocate for testing and modern development best practices
• Can make pragmatic design tradeoffs while balancing features, maintainability, and delivery time
• Elevate the skills and expertise of those around you
• Are excited by our

• , , , , , and other JVM-based projects
• Integrations with other open-source software, such as and AI tools
• Testing, delivering and supporting the above across multiple operating systems, JDKs, and MongoDB releases

• Working with our Product, Server, Cloud, and other driver teams on designs and specifications for new customer-facing MongoDB features
• Investigating bugs and support requests from commercial and open-source customers for the libraries and tools our team maintains
• Seeking out speaking or writing opportunities to engage with our developer community
• Mentoring junior engineers in both technical and non-technical professional skills

• Within three months, you will contribute effectively day-to-day, fix bugs, implement planned features, and thoroughly review your colleagues’ pull requests
• Within six months, you will confidently lead projects, provide mentorship and technical guidance to colleagues, and contribute to process improvements
• Within a year, you will demonstrate strong technical ownership, influence team and product growth through effective communication and collaboration, and contribute to high-impact product enhancements

• Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Significant experience in automated performance testing, including writing test plans, executing tests on tools like Locust, Gatling, jMeter, etc, and interpreting results using tools like Grafana, Prometheus, Kibana, etc
• Knowledge of infrastructure deployments for distributed systems such as Cloud Providers (AWS, GCP, Azure) and on-prem systems (VMWare, OpenShift, Kubernetes)
• Ability to project manage cross-functional teams
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Significant experience with data modeling relational databases and NoSQL databases like MongoDB
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 20%
• A Bachelor’s degree or equivalent work experience

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

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