AI DevOps Engineer

Job Description

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 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 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 DevOps: 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 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 & Experience

Cloud Platforms

• 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 DevOps

• Demonstrated experience applying AI/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/CD

• Strong experience building and maintaining CI/CD pipelines using tools such as GitHub 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.

Hyperscalers

• Working knowledge of AWS core services (EKS, EC2, S3, IAM, CloudWatch, etc.); exposure to Azure or GCP is a plus.
• Understanding of cloud networking, security groups, and cost-management principles.

Kubernetes

• Solid understanding of Kubernetes architecture and day-2 operations — deployments, services, ingress, persistent volumes, HPA, RBAC, and namespaces.
• Experience with Helm chart authoring and management.
• Familiarity with service mesh concepts (Istio, Kyma eventing) is advantageous.

Observability & Search

• Experience deploying and operating Elasticsearch / OpenSearch for log aggregation, search, and analytics.
• Familiarity with the broader Elastic Stack (Kibana, Logstash, Filebeat) or equivalent observability toolchains (Prometheus, Grafana, OpenTelemetry).

General DevOps

• Solid understanding of Git-based workflows, branching strategies, and release management.
• Experience working in Agile/SAFe development environments.
• Comfortable working with containerisation (Docker) and image management (container registries, vulnerability scanning).

Nice to Have

• Experience with Red Hat 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 with SAP BTP services beyond BTP CF/Kyma (e.g., Integration Suite, Event Mesh, HANA Cloud, AI Core Services).

What We Are Looking For in You

• You are curious and proactive — you don't wait for problems to become critical; you identify and address them early.
• You have a genuine enthusiasm for how 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 a collaborative, distributed team environment and take shared ownership of platform reliability.

Qualifications

• 2–5 years of 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.).

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 77500-166200CAD. 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. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link: 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 the Quebec.

AI Usage in the Recruitment Process

For 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.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 452849 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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