Job Title

Senior DevOps EngineerDepartment: AI & Software EngineeringLocation: Remote (Open to candidates across Canada)Compensation: Competitive Based on experienceAbout the RoleWe 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 DoArchitect, implement, and optimize scalable cloud infrastructure in Microsoft AzureDesign, build, and maintain CI/CD pipelines using Azure DevOps or GitHub ActionsImplement Infrastructure as Code using Terraform and/or BicepDeploy, monitor, and scale containerized applications using Docker and Kubernetes (AKS)Define monitoring, logging, and alerting strategies for high system reliabilityLead incident response and root cause analysis for production systemsCollaborate with engineering and AI/ML teams to support cloud-native workloadsEnforce Git best practices including branching strategies and code reviewsMentor engineers and promote DevOps best practices across teamsRequired Experience & Qualifications10+ years of experience in DevOps, Cloud Engineering, or SRE rolesStrong hands-on expertise with Microsoft Azure (networking, compute, storage, security, monitoring)Proven experience building and maintaining CI/CD pipelinesAdvanced Infrastructure as Code experience (Terraform / Bicep)Deep knowledge of Docker and Kubernetes / AKS in productionProficiency in Python and/or Bash for automationExperience supporting PostgreSQL or other SQL databases in cloud environmentsStrong Git and version control expertiseExperience leading production incidents and driving reliability improvementsBachelors degree in Computer Science or related field (or equivalent experience)Nice to HaveExperience with MLOps or supporting AI/ML production workloadsFamiliarity with SRE principles (SLIs, SLOs, error budgets)Cloud security best practices and IAM expertiseExperience operating large-scale cloud-native platformsMasters degree in a related technical disciplineTechnical StackCloud: Microsoft AzureInfrastructure as Code: Terraform, BicepCI/CD: Azure DevOps, GitHub ActionsContainers: Docker, Kubernetes (AKS)Languages: Python, BashDatabases: PostgreSQLMonitoring: Azure Monitor, Log Analytics, Prometheus, GrafanaSecurity: IAM, secrets management, HA/DR strategiesWhat We OfferCompetitive compensation packageComprehensive benefits (medical, dental)Flexible time offProfessional development & training supportPerformance-based bonusesCollaborative, innovation-driven cultureOpportunity to work on AI-native and cloud-native systemsWho You AreStrong problem-solver with infrastructure depthClear communicator across technical and non-technical teamsHigh ownership and accountabilityDetail-oriented and quality-drivenContinuous learner passionate about modern DevOps practicesApplication QuestionsPlease include:Your experience with Azure and CI/CD platformsYears of DevOps / Cloud experienceExperience with Kubernetes in productionSalary expectationsAvailability to startIf you are passionate about building resilient, scalable cloud infrastructure and enabling high-performing engineering teams, we would love to hear from you.Apply today.