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AI-Driven DevOps Platform Engineer

RBC

Toronto

On-site

CAD 85,000 - 120,000

Full time

30+ days ago

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Job summary

A leading financial institution in Toronto seeks a skilled DevOps Platform Engineer. This role involves enhancing a CI/CD deployment platform, leveraging AI technologies, and ensuring operational efficiency. Candidates should have 5+ years of experience, a degree in a relevant field, and proficiency in cloud services and SRE principles. Join a dynamic, innovative team dedicated to optimizing applications in cloud environments.

Benefits

Comprehensive Total Rewards Program
Flexible work/life balance options
World-class training program
Opportunities to leverage AI for innovation

Qualifications

  • 5+ years of working experience.
  • Proficient with cloud-based services.
  • Thorough understanding of Site Reliability Engineering principles.
  • Experience with architecting, implementing, and deploying systems.
  • Knowledge of Continuous Integration/Continuous Delivery tools.
  • Familiarity with container technologies like Docker and orchestration platforms.

Responsibilities

  • Work with cross-functional teams on deployment platform features.
  • Guarantee performance and quality with SRE principles.
  • Advance operational capabilities and user experience.
  • Design deployment patterns leveraging AI.
  • Integrate with cloud services for secure deployments.
  • Formulate automated testing procedures for stability.
  • Engage in code review and document procedures.
  • Stay updated on AI advancements and technology.

Skills

Cloud-based services (e.g., AWS, Azure)
Site Reliability Engineering (SRE)
CI/CD methodologies
Docker
Kubernetes
AI tools
Git
Analytical skills
Problem-solving abilities
Communication skills

Education

Bachelor's degree in Computer Science, Engineering, or relevant field
Job description
A leading financial institution in Toronto seeks a skilled DevOps Platform Engineer. This role involves enhancing a CI/CD deployment platform, leveraging AI technologies, and ensuring operational efficiency. Candidates should have 5+ years of experience, a degree in a relevant field, and proficiency in cloud services and SRE principles. Join a dynamic, innovative team dedicated to optimizing applications in cloud environments.
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