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CN is seeking a software developer to deliver high-quality code and participate in building and deploying full products in a hybrid work environment. The role involves collaborating with cross-functional teams, applying modern development techniques, and leveraging AI-assisted tools to improve coding efficiency and solution quality.
The ideal candidate brings 5+ years of development experience across front-end and back-end microservices, with strong knowledge of Java, Python, Angular, and DevOps
The incumbent is responsible for assigned deliverables, aligning workload and focus on key tasks to deliver as per service commitment, as well as leveraging expertise and skill set to achieve delivery goals. The role contributes to the whole solution by analyzing functional specifications to identify the best technical design, and for the development, implementation and support of the application. The specialist leverages modern software tools, including AI-assisted development technologies, to optimize coding efficiency, unit testing, and solution quality. Depending on the assignment, the role may apply in either a project, enhancement, or support environment. The role may specialize in a particular technology domain, such as onboard systems, GIS, business portfolios or enterprise systems for example.
Delivery
Technical Expertise
Architecture
The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN's hybrid work model. The role involves managing priorities and delivering work within established timelines, with support from the team to ensure sustainable and effective workload management. Occasional off-hour support may be required if assigned to application support duty within CN's 24/7 operational railway environment.
Software Development
Proficiency in core programming language and frameworks: Java, Python, JavaScript and Typescript, Angular, Spring Boot.Knowledge of infrastructure as code(e.g.,Terraformand Ansible).Ability to draw architectural diagrams, guides and documentation to share across teams.Ability to automate continuous integration and continuous deployments pipelines (CI/CD) using Azure Development Operations.Familiarity with AI-assisted software engineering practices and prompt engineering for code development.