Senior DevOps Engineer - Industry AI - Energy and Natural Resources (Gurgaon, 7-12 Years)

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.

What you'll build

We are looking for a Senior DevOps Engineer in the areas of Industry AI – Energy and Natural Resources under Strategy & Operations board area. The role focuses on identifying opportunities to improve engineering and operational processes through AI-assisted automation, Agentic AI, cloud technologies, and DevOps practices. You will work across the complete lifecycle — from understanding a problem and exploring an AI/automation opportunity, through prototyping and engineering, to deployment, monitoring, and continuous improvement. The role requires a combination of strong engineering fundamentals, hands-on AI adoption, automation mindset, cloud understanding, and the ability to learn and apply emerging technologies.

• You will design and implement automation solutions that integrate with enterprise application APIs, tools, and cloud services, and you will develop and maintain automated CI/CD pipelines for both applications and automation workloads.
• Core to this role is working with cloud platforms and cloud-native technologies to deploy and operate solutions, implementing infrastructure and deployment automation, and embedding observability, monitoring, logging, and troubleshooting capabilities.
• You will continuously improve the reliability, scalability, security, and maintainability of deployed solutions, while collaborating with architects, developers, platform teams, and other stakeholders to identify and act on automation opportunities.
• Evaluating emerging technologies across AI, automation, cloud, and DevOps—and translating them into practical adoption—is an ongoing expectation.
• You will also contribute reusable automation patterns, engineering practices, and accelerators that strengthen the capability of the wider team.
• You will identify opportunities where AI and automation can simplify engineering and operational processes. This includes applying agentic AI and AI-assisted technologies to real-world use cases, and developing prototypes and proofs of concept to validate new ideas.
• Effective context engineering, AI output evaluation, and the establishment of appropriate quality assurance and validation mechanisms will be central to delivering reliable and relevant AI-assisted solutions.
• In addition, you will actively support the adoption of AI-enabled tools and practices across engineering teams.

What You Bring

• 7-12 years of full time practical hands-on experience and knowledge of cloud platforms, CI/CD pipelines, infrastructure and configuration automation and observability including logging, monitoring and metrics enables you to design and operate resilient repeatable delivery systems.
• You should possess strong programming and scripting skills across one or more modern languages, combined with experience developing automation, APIs, integrations and reusable components, enable you to build solutions that scale from prototype to production. A solid grounding in software engineering principles including version control, testing and maintainability is expected.
• Your experience includes an understanding of agentic AI, context design for AI applications and the quality and validation of AI output. This entails evaluating and translating emerging AI technologies into practical use cases. An understanding of cloud security, identity and access management and secure application deployment is a further advantage.
• Beyond technical depth you bring the learning agility to stay ahead of fast-moving technology the creative thinking to identify new applications of AI and automation the collaborative ability to work effectively across engineering, architecture, platform and business teams and the communication skills to make complex technical concepts and AI capabilities accessible to any audience.

Where you belong

You'll take end-to-end ownership of systems that directly affect cloud delivery, quality and reliability at SAP. In this role, you will join Industry AI - EnR engineering team (incl. Utilities, Oil & Gas, Mill & Mining and Chemicals) and help drive the adoption of AI, automation, cloud, and modern DevOps practices across our engineering landscape. The team is global and cross-functional, and you'll work with people across product management, engineering, and platform teams. You will be mentoring less-experienced engineers and contributing to technical standards are expected parts of the role. If you want broad ownership and the responsibility that comes with it, this level offers that.

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.

Successful candidates might be required to undergo a background verification with an external vendor.

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: 459198 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid