NOTE: This is a hybrid position with an in-office requirement of 3 days a week from our Vancouver office. There is no relocation assistance available for this role.About the RoleWe are looking for a motivated and skilled AI DevOps Engineer to join the UACP engineering team. In this role, you will play a key part in designing, automating, and optimizing our deployment pipelines across cloud-native and multi-cloud environments. You have a genuine passion for applying AI/ML techniques to modernize and simplify the way software is built, tested, and delivered.Key ResponsibilitiesCloud Platform Engineering: Design, deploy, and maintain applications and services onSAP BTP Cloud FoundryandSAP BTP Kymaenvironments, ensuring scalability, reliability, and security.AI-Augmented DevOps: Champion the use of AI tools and approaches to streamline and simplifytesting ,deployment, andrelease workflows— including AI‑assisted code review, test generation, anomaly detection, and intelligent rollout strategies.Workflow Automation: Architect and implement end‑to‑end automated pipelines for CI/CD using up-to-date tooling; continuously identify manual processes and eliminate toil through automation.Hyperspace / Internal Platform: Work withHyperspaceplatform capabilities to deliver and manage services effectively within the internal platform ecosystem.Multi‑Cloud & Hyperscaler Operations: Collaborate on workloads running acrossAWSand other major hyperscalers (Azure, GCP), ensuring best practices around cost optimisation, security, and operational excellence.Kubernetes & Container Orchestration: Manage and optimiseKubernetesclusters (on BTP Kyma, EKS, or equivalent), including workload scheduling, networking, resource management, and cluster lifecycle operations.Observability & Search: Deploy and maintainElasticsearch(and related Elastic Stack components such as Logstash, Kibana, Beats or OpenSearch) for centralised logging, monitoring, and operational intelligence.Continuous Improvement: Stay current with emerging AI DevOps tooling and practices; propose and prototype improvements to the deployment landscape and developer experience.Collaboration: Work closely with software engineering, architecture, and security teams to align platform capabilities with product delivery goals.Required Skills & ExperienceCloud PlatformsHands‑on experience withSAP BTP Cloud Foundry— app deployment, service bindings, space/org management,



and pipeline integration.Practical experience withSAP BTP Kyma— deploying containerised workloads, managing Kyma modules, and working with the Kubernetes‑based runtime.Familiarity withHyperspaceplatform services and tooling.AI in DevOpsDemonstrated experience applyingAI/ML to DevOps workflows— e.G., AI‑assisted testing (test generation, flaky test detection), intelligent deployment strategies, predictive incident detection, or LLM‑aided pipeline scripting.Keen interest and awareness of the evolving AI tooling ecosystem (GitHub Copilot, AI‑based observability tools, generative test frameworks, etc.).Automation & CI/CDStrong experience building and maintainingCI/CD pipelinesusing tools such as GitHub Actions, Jenkins, Argo CD, Tekton, or equivalent.Proficient in scripting and automation usingPython ,Bash, or similar languages.Experience withInfrastructure as Code (IaC)— Terraform, Helm, or equivalent.HyperscalersWorking knowledge ofAWScore services (EKS, EC2, S3, IAM, CloudWatch, etc.); exposure to Azureor GCP is a plus.Understanding of cloud networking, security groups, and cost‑management principles.KubernetesSolid understanding ofKubernetesarchitecture and day‑2 operations — deployments, services, ingress, persistent volumes, HPA, RBAC, and namespaces.Experience withHelmchart authoring and management.Familiarity with service mesh concepts (Istio, Kyma eventing) is advantageous.Observability & SearchExperience deploying and operatingElasticsearch / OpenSearchfor log aggregation, search, and analytics.Familiarity with the broader Elastic Stack (Kibana, Logstash, Filebeat) or equivalent observability toolchains (Prometheus, Grafana, OpenTelemetry).General DevOpsSolid understanding ofGit‑based workflows, branching strategies, and release management.Experience working inAgile/SAFedevelopment environments.Comfortable working withcontainerisation(Docker) and image management (container registries, vulnerability scanning).Nice to HaveExperience withRed OpenShift— deploying and managing containerised workloads on OpenShift,



familiarity with OpenShift Pipelines (Tekton), OpenShift GitOps (Argo CD), and the OpenShift Container Platform (OCP) operational model.Experience withSAP BTP servicesbeyond BTP CF/Kyma (e.G., Integration Suite, Event Mesh, HANA Cloud, AI Core Services).What We Are Looking For in YouYou arecurious and proactive— you don't wait for problems to become critical; you identify and address them early.You have a genuine enthusiasm forhow AI can reshape the deployment landscape, and you experiment with new tools rather than simply following the status quo.You can balance hands‑on technical delivery with clear communication — you can explain trade‑offs and recommendations to both engineers and non‑technical stakeholders.You thrive in acollaborative, distributed team environmentand take shared ownership of platform reliability.Qualifications2–5 yearsof professional experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience.Relevant cloud or DevOps certifications are a plus (AWS Certified DevOps Engineer, CKA/CKAD, Red Hat OpenShift certifications, SAP BTP certifications, etc.).The targeted combined range for this position is 77500–166200 CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. A summary of benefits and eligibility requirements can be found at www.SAPNorthAmericaBenefits.Com.Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in Quebec.AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process at https://jobs.Sap.Com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US.Requisition ID: 452849 | Work Area: Software-Development Operations | Expected Travel: 0–10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid#J-18808-Ljbffr

📌 Ai Devops Engineer - C$77,500 - C$166,200 A Year (Winnipeg)
🏢 SAP
📍 Winnipeg