Dev Ops Senior

Senior DevOps Engineer

Department: AI & Software Engineering

Location: Remote (Open to candidates across Canada)

Compensation: Competitive – Based on experience

About the Role

We are seeking a highly experienced Senior DevOps Engineer to join our growing AI & Software Engineering team. This role is ideal for a cloud-native infrastructure expert who thrives in modern environments built around automation, scalability, security, and reliability.

You will design, implement, and optimize secure, production-grade cloud platforms while leading CI/CD automation initiatives and managing containerized workloads. You will collaborate closely with engineering, data, and AI teams to support microservices and ML-driven systems in a high-availability environment.

This is a key technical leadership role with real ownership and impact.

What You Will Do

• Architect, implement, and optimize scalable cloud infrastructure in Microsoft Azure
• Design, build, and maintain CI/CD pipelines using Azure DevOps or GitHub Actions
• Implement Infrastructure as Code using Terraform and/or Bicep
• Deploy, monitor, and scale containerized applications using Docker and Kubernetes (AKS)
• Define monitoring, logging, and alerting strategies for high system reliability
• Lead incident response and root cause analysis for production systems
• Collaborate with engineering and AI/ML teams to support cloud-native workloads
• Enforce Git best practices including branching strategies and code reviews
• Mentor engineers and promote DevOps best practices across teams

Required Experience & Qualifications

• 10+ years of experience in DevOps, Cloud Engineering, or SRE roles
• Strong hands-on expertise with Microsoft Azure (networking, compute, storage, security, monitoring)
• Proven experience building and maintaining CI/CD pipelines
• Advanced Infrastructure as Code experience (Terraform / Bicep)
• Deep knowledge of Docker and Kubernetes / AKS in production
• Proficiency in Python and/or Bash for automation
• Experience supporting PostgreSQL or other SQL databases in cloud environments
• Strong Git and version control expertise
• Experience leading production incidents and driving reliability improvements
• Bachelor’s degree in Computer Science or related field (or equivalent experience)

Nice to Have

• Experience with MLOps or supporting AI/ML production workloads
• Familiarity with SRE principles (SLIs, SLOs, error budgets)
• Cloud security best practices and IAM expertise
• Experience operating large-scale cloud-native platforms
• Master’s degree in a related technical discipline

Technical Stack

Cloud: Microsoft Azure

Infrastructure as Code: Terraform, Bicep

CI/CD: Azure DevOps, GitHub Actions

Containers: Docker, Kubernetes (AKS)

Languages: Python, Bash

Databases: PostgreSQL

Monitoring: Azure Monitor, Log Analytics, Prometheus, Grafana

Security: IAM, secrets management, HA/DR strategies

What We Offer

• Competitive compensation package
• Comprehensive benefits (medical, dental)
• Flexible time off
• Professional development & training support
• Performance-based bonuses
• Collaborative, innovation-driven culture
• Opportunity to work on AI-native and cloud-native systems

Who You Are

• Strong problem-solver with infrastructure depth
• Clear communicator across technical and non-technical teams
• High ownership and accountability
• Detail-oriented and quality-driven
• Continuous learner passionate about modern DevOps practices

Application Questions

Please include:

• Your experience with Azure and CI/CD platforms
• Years of DevOps / Cloud experience
• Experience with Kubernetes in production
• Salary expectations
• Availability to start

If you are passionate about building resilient, scalable cloud infrastructure and enabling high-performing engineering teams, we would love to hear from you.

Apply today.