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Dernière mise à jour : il y a 2 jours

Senior Cloud / AI Developer – Train Control, OT

CNMontreal Est, Quebec, CA
Temps plein

CN is seeking a Senior Cloud / AI Developer to design, build, and operate scalable cloud native and AI-enabled solutions that support enterprise platforms and business critical initiatives.This rol... Voir plus

Senior Cloud / AI Developer – Train Control, OT

Senior Cloud / AI Developer – Train Control, OT

CNMontreal Est, Quebec, CA
Il y a 2 jours
Type de contrat
  • Temps plein
Description de poste
Job Summary

CN is seeking a Senior Cloud / AI Developer to design, build, and operate scalable cloud native and AI-enabled solutions that support enterprise platforms and business critical initiatives. This role plays a key part in advancing CN’s cloud and artificial intelligence capabilities while ensuring solutions are secure, resilient, and aligned with enterprise standards.

The successful candidate will combine strong software engineering expertise with hands on cloud and AI experience, while providing technical leadership within cross functional delivery teams.

Key Responsibilities

Cloud & Application Development

  • Design, develop, and maintain cloud native applications and services using modern architectures (microservices, APIs, event driven patterns).
  • Build and automate cloud environments and deployment pipelines using standardized, repeatable configuration and automation practices to enable secure and reliable deployments
  • Ensure solutions meet performance, availability, security, and operational requirements.
  • Collaborate with product, architecture, DevSecOps, and quality teams to deliverend-to-end solutions aligned with business needs.

AI & Generative AI Enablement

  • Develop and integrate AI and Generative AI capabilities into applications and platforms, including model and API based consumption.
  • Support the AI lifecycle, from experimentation and validation to deployment and monitoring.
  • Ensure AI solutions align with enterprise governance, security, and responsible AI principles.

Engineering Excellence

  • Apply software engineering best practices, including clean code, automated testing, secure coding, and design patterns.
  • Contribute to technical standards, reusable components, and reference architectures.
  • Identify and address technical risks, quality gaps, and performance issues early in the delivery lifecycle.

Technical Leadership & Collaboration

  • Act as a technical mentor and leader, supporting the growth and development of other engineers.
  • Provide hands‑on guidance during design reviews, solution walkthroughs, and complex problem resolution.
  • Work effectively in agile or scaled agile delivery environments, partnering closely with Product Owners and business stakeholders.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 7+ years of experience in software development, including significant experience delivering cloud‑based solutions.
  • Strong programming skills in Python, Java, or JavaScript/TypeScript.
  • Hands on experience with at least one major cloud platform (Azure, Google Cloud, or AWS).
  • Experience with CI/CD, DevOps practices, and containerized environments.
  • Practical knowledge of AI / ML or Generative AI concepts, including integrating AI services into applications.
  • Solid understanding of cloud security, identity, and access management.
  • Experience with enterprise AI platforms (, Vertex AI, Azure AI, or equivalent).
  • Exposure to data platforms, analytics, or event streaming technologies.
  • Familiarity with AI governance, responsible AI, and regulatory considerations.
  • Experience working in large, complex enterprise environments.