DevOps Automation Engineer

What you’ll do

• Design and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Argo CD) that take code from commit to production safely
• Provision cloud infrastructure on AWS, Azure, or GCP with Terraform, Pulumi, Bicep, or CloudFormation, with every change reviewed and versioned
• Run containerized workloads on Docker and Kubernetes (EKS, AKS, GKE), including Helm charts and GitOps workflows
• Automate configuration, patching, environment setup, and onboarding with Python, Bash, Go, or Ansible
• Build self-service tooling and “golden paths” so developers can spin up environments without filing tickets
• Build observability with Prometheus, Grafana, Datadog, ELK, or OpenTelemetry, with alerts that mean something
• Embed security into delivery (DevSecOps): secrets management, image and dependency scanning, policy-as-code, and least-privilege access
• Support compliance requirements (SOC 2, PIPEDA, and industry-specific rules) with automated evidence instead of manual screenshots
• Improve release safety with canary deployments, feature flags, and automated rollbacks
• Reduce cloud spend through right-sizing, scheduling, and cost visibility (FinOps)
• Use AI-assisted tooling to speed up pipeline troubleshooting, code review, and incident analysis
• Document systems and teach teams to use what you build
• Partner with developers, QA, security, and SRE to remove friction wherever you find it

Find your level

• Level Typical experience What you’ll own
• DevOps Engineer I - 0-2 years : Pipeline maintenance, scripting, monitoring, and scoped automation, learning our platform with a dedicated mentor
• DevOps Engineer II - 2-5 years : Owning pipelines and infrastructure modules end to end, leading migrations, improving reliability and speed, mentoring
• Senior DevOps Engineer - 5+ years : Architecting the delivery platform, setting standards, leading major initiatives, shaping cloud and release strategy

Promotion criteria are written down at every level, with regular career conversations. You can grow as a deep technical specialist or toward leadership. Both paths are real here.

What you bring

Must have

• Hands-on experience with Linux and at least one major cloud provider (AWS, Azure, or GCP)
• Working knowledge of CI/CD concepts and at least one pipeline tool
• Scripting ability in Python, Bash, or a similar language
• Familiarity with containers and basic Kubernetes concepts
• Understanding of networking fundamentals, Git, and infrastructure-as-code principles
• A “fix the root cause” mindset and clear communication when things break
• Degree or diploma in Computer Science, IT, Engineering, or a related field, or equivalent experience. Home labs, bootcamps, and self-taught engineers are welcome. We hire for skill, not pedigree.
• Legal authorization to work in Canada (citizens, permanent residents, and valid work permit holders)

• Nice to have (not required)
• Certifications: AWS DevOps Engineer or Solutions Architect, Azure AZ-400, CKA/CKAD, Terraform Associate, or similar
• Experience with GitOps, service mesh (Istio, Linkerd), or platform engineering practices
• Knowledge of SRE principles: SLIs, SLOs, and error budgets
• Security tooling experience (Vault, Trivy, Snyk, OPA, Checkov)
• Familiarity with FinOps and multi-account cloud setups
• Co-op or internship experience in DevOps, cloud, or infrastructure
• Industry background in [fintech, healthcare, SaaS, e-commerce, telecom, public sector, etc.]
• Fluency in French, an asset for Quebec roles and bilingual teams [if applicable]
• A home lab, GitHub repos, or open-source contributions you can talk about