About this role
Accountabilities:
- Lead the platform engineering team and collaborate with client technology leadership to define and deliver long-term platform improvement initiatives alongside ongoing development requests.
- Design, implement, and maintain shared, version-controlled CI/CD pipeline templates with integrated quality and security gates.
- Establish build-once release promotion practices across Test, Staging, Pre-Production, and Production environments, including approval workflows and rollback capabilities.
- Coordinate and execute regular weekly and off-cycle production deployments, including database releases and post-deployment validation.
- Work with release management teams to assess deployment readiness and support go/no-go decisions.
- Develop reusable Terraform infrastructure as code modules and automate standardized environment provisioning.
- Identify and remediate infrastructure configuration drift, and manage the decommissioning of legacy environments.
- Strengthen cloud security, identity, and access management through secrets and key management, access request handling, and cloud resource hardening.
- Lead root-cause analysis of platform incidents and coordinate remediation to improve system stability and prevent recurrence.
- Maintain operational runbooks, support knowledge transfer, and establish effective processes for managing unplanned work and incoming requests.
- Provide technical leadership and architectural guidance to support platform modernization, automation, and operational excellence.
Requirements:
- Proven experience building and configuring Azure environments from the ground up using Terraform.
- Strong knowledge of Terraform modules, state management, infrastructure lifecycle management, and CI/CD-driven infrastructure deployments.
- Hands-on expertise with Azure services, including App Services, Key Vault, Cosmos DB, networking, and identity services.
- Extensive experience with Azure DevOps and Azure Pipelines for build automation, release management, and deployment workflows.
- Practical experience with Docker and Kubernetes in containerized application environments.
- Familiarity with monitoring and observability solutions such as Grafana and Azure Application Insights.
- Demonstrated experience migrating manually provisioned infrastructure to infrastructure as code without causing production outages.
- Previous experience working as a technical lead, DevOps architect, or in a comparable senior engineering leadership position.
- Strong understanding of cloud security, access controls, secrets management, deployment governance, and operational best practices.
- Ability to lead technical initiatives while remaining comfortable with hands-on implementation and troubleshooting.
- Strong analytical and problem-solving skills, with the ability to investigate complex platform issues and drive sustainable solutions.
- Effective communication and collaboration skills, particularly when working with technology leadership, engineering teams, and release management stakeholders.
Benefits:
- Annual salary: CAD 150,000–165,000. Individual offers depend on experience, qualifications, education, training, skills, role requirements, and local market considerations.
- Extended healthcare coverage, including prescription drugs, dental, and vision care.
- Company-paid Healthcare Spending Account.
- Company-paid life and Accidental Death & Dismemberment (AD&D) insurance.
- Company-paid Employee Assistance Program.
- Company-paid telehealth services.
- Short-term disability coverage and long-term disability insurance.
- Paid time off, including vacation and sick days.
- Registered Retirement Savings Plan (RRSP) with company matching contributions.
- Maternity, parental, and adoption leave top-up.
- Employee Stock Purchase Program.
- Critical illness insurance.
- Employee discounts.
- Unlimited access to LinkedIn Learning solutions.
- Opportunity to work on international projects and collaborate with multidisciplinary, multicultural teams.
- Access to continuous learning, professional development, and mentorship in a dynamic and inclusive environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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