{"id":3775027,"url":"https://alion.io/job/inviso-infrastructure-sre-engineer-canada","title":"Infrastructure / SRE Engineer - Canada","company":{"id":1629327,"name":"Inviso","domain":"inviso.ca","url":"https://alion.io/company/inviso-ca","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-04T22:58:00Z","employer_posted_date":null,"last_verified_at":"2026-11-04T22:58:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Infrastructure / SRE Engineer \n\nInviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.\n\nThe Infrastructure / SRE Engineer is responsible for designing, building, and operating the cloud, infrastructure, deployment, observability, and reliability capabilities that allow platform teams to ship safely and consistently. This role focuses on landing zones, infrastructure-as-code, Kubernetes, CI/CD, observability, incident response, cost optimization, and production readiness.\n\nThe Engineer treats infrastructure and reliability as products, building repeatable systems that reduce toil, improve delivery speed, and support mission-critical customer environments. The ideal candidate is hands-on, automation-minded, calm under pressure, and comfortable owning systems in production.\n\nExperience & Skills Required\n\nExperience building and operating production cloud infrastructure with reliability ownership.\nStrong experience with infrastructure-as-code, landing zones, networking, identity, security, and environment management.\nExperience with Kubernetes, containerized workloads, CI/CD pipelines, and automated deployment practices.\nExperience establishing observability using metrics, logs, traces, dashboards, alerting, and actionable operational signals.\nExperience defining or supporting SLOs, reliability practices, incident response, postmortems, and on-call operations.\nAbility to automate operational tasks and reduce manual toil through scripts, tools, runbooks, and platform services.\nExperience preparing software for customer-controlled, hybrid, BYOC, on-premises, or edge environments preferred.\nStrong understanding of cost and capacity optimization, including expensive compute such as GPU workloads.\nStrong communication and collaboration skills for client-facing consulting environments.\nPragmatic mindset with the ability to balance speed, safety, automation, cost, and operational quality.\n\nDesired Qualifications\n\nExperience with Azure, Kubernetes, Terraform, Bicep, GitHub Actions, Azure DevOps, or related infrastructure and delivery tools.\nExperience with Azure Arc, fleet management, pull-based deployment patterns, or version/configuration drift management.\nExperience supporting regulated, air-gapped, edge, or mission-critical delivery environments.\nExperience supporting AI/ML platforms, model-serving infrastructure, GPU workloads, or AI development lifecycle operations.\nExperience building enterprise-scale infrastructure supporting multiple teams, products, or customers.\nExperience using AI-assisted development tools while maintaining strong review, testing, and operational discipline.\n\nSuccess Criteria\n\nSuccess in this role is measured by reliable platform operations, repeatable delivery, strong observability, reduced operational toil, and the ability to help client teams ship safely into complex customer environments. 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