Overview

AI DevOps Engineer Jobs in Vancouver, Canada at SAP SE

We help the world run better At SAP, we keep it simple: you bring your best to us, and we’ll bring out the best in you. We’re builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what’s next. The work is challenging – but it matters. You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong.

What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

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 Role

We are looking for a motivated and skilled AI Dev Ops 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 Responsibilities

  • Cloud Platform Engineering
    :
    Design, deploy, and maintain applications and services on SAP BTP Cloud Foundry and SAP BTP Kyma environments, ensuring scalability, reliability, and security.
  • AI‑Augmented Dev Ops
    :
    Champion the use of AI tools and approaches to streamline and simplify testing
    , deployment
    , and release 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 modern tooling; continuously identify manual processes and eliminate toil through automation.
  • Hyperspace / Internal Platform
    :
    Work with Hyperspace platform capabilities to deliver and manage services effectively within the internal platform ecosystem.
  • Multi‑Cloud & Hyperscaler Operations
    :
    Collaborate on workloads running across AWS and other major hyperscalers (Azure, GCP), ensuring best practices around cost optimisation, security, and operational excellence.
  • Kubernetes & Container Orchestration
    :
    Manage and optimise Kubernetes clusters (on BTP Kyma, EKS, or equivalent), including workload scheduling, networking, resource management, and cluster lifecycle operations.
  • Observability & Search
    :
    Deploy and maintain Elasticsearch (and related Elastic Stack components such as Logstash/Kibana/Beats or Open Search) for centralised logging, monitoring, and operational intelligence.
  • Continuous Improvement
    :
    Stay current with emerging AI Dev Ops 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 & Experience

  • Hands‑on experience with SAP BTP Cloud Foundry — app deployment, service bindings, space/org management, and pipeline integration.
  • Practical experience with SAP BTP Kyma — deploying containerised workloads, managing Kyma modules, and working with the Kubernetes‑based runtime.
  • Familiarity with Hyperspace platform services and tooling.

AI in Dev Ops

  • Demonstrated experience applying AI/ML to Dev Ops 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 (Git Hub Copilot, AI‑based observability tools, generative test frameworks, etc.).

Automation & CI/CD

  • Strong experience building and maintaining CI/CD pipelines using tools such as Git Hub Actions, Jenkins, Argo CD, Tekton, or equivalent.
  • Proficient in scripting and automation using Python
    , Bash
    , or similar languages.
  • Experience with Infrastructure as Code (IaC) — Terraform, Helm, or equivalent.
  • Working knowledge of AWS core services (EKS, EC2, S3, IAM, Cloud Watch, etc.); exposure to Azure or GCP is a plus.
  • Understanding of cloud networking, security groups, and cost‑management principles.
  • Solid understanding of Kubernetes architecture and day‑2 operations — deployments, services,…

Title: AI DevOps Engineer

Company: SAP SE

Location: Vancouver, Canada

Category:

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