Associate DevOps Engineer - SAP Artificial Intelligence
Bangalore, IN, 560066
SAP
Explore market-leading software and technology from SAP. Become an intelligent, sustainable enterprise with the best in cloud, platform, and sustainability solutions – no matter your industry or size.Title – DevOps Engineer – SAP Artificial Intelligence
Meet Our Team
SAP AI Core Product Engineering is part of the SAP Business AI unit and one of the key drivers of the Intelligent Enterprise. We are driven by our mission to integrate the latest technology in AI into all our enterprise applications, thereby empowering our customers to maximize the potential of their business data. Our team is responsible for foundational products such as SAP Generative AI Hub, AI Core and AI Launchpad are located in Germany, Singapore, and India, exemplifying an innovative, start-up-like work environment. Despite our firm establishment on the global stage, we maintain an agile and innovative environment that inspires creativity.
What You'll Do
As a DevOps Engineer, you will have the unique opportunity to join the SAP Artificial Intelligence platform engineering team within SAP’s AI unit. In a dynamic, fun, and start-up-like environment, you will have a great opportunity to work in a dynamic, collaborative environment focused on cloud infrastructure, DevOps, and AI technologies. You will be integral to designing, implementing, and managing cloud-native infrastructure and Kubernetes clusters to support large-scale, distributed AI applications. You will collaborate closely with seasoned engineers and DevOps experts to drive cloud and Kubernetes innovation.
What You Bring
• Strong experience with Kubernetes, including deployment, scaling, and management of containerized applications.
• Knowledge of Source Control Management (SCM) tools (e.g., Git, GitHub).
• Proficiency in scripting and programming languages, such as Bash, Python, Java, or Go.
• Hands-on experience with cloud-based platforms (AWS, GCP, Azure) and containerization technologies like Docker.
• Solid understanding of Infrastructure as Code (IaC) tools, such as Terraform and configuration management tools.
• Familiarity with microservices architecture, REST APIs, and service mesh within Kubernetes.
• Expertise with CI/CD tools (e.g., Jenkins, GitHub Actions, ArgoCD) and creating CI/CD pipelines specifically for Kubernetes environments
As the SAP AI Core Platform Engineering, We Are Responsible For:
• Building secure and reliable tools to increase developer efficiency, scaling from local machines to large-scale, production systems.
• Designing and implementing robust service and infrastructure management tools that align with DevOps principles, tailored for extensive Kubernetes environments.
• Developing and optimizing tools for recovery, monitoring, and management of large-scale, distributed systems running on Kubernetes.
• Embedding security and quality measures from the start to build resilient, mission-critical AI systems on a scalable Kubernetes infrastructure.
• Evaluating and recommending tools that enhance DevOps performance across large deployments and multiple Kubernetes clusters.
• Creating a centralized CI/CD (continuous integration and continuous deployment) pipeline for efficient application deployment across diverse environments, including Cloud Foundry, Kubernetes, and multiple cloud providers.
• Collaborating with CI/CD experts across locations to drive central CI/CD efficiency improvements, especially in high-scale Kubernetes ecosystems.
• Supporting release-level activities, ensuring streamlined and reliable rollouts in large-scale production environments.
• Developing comprehensive monitoring solutions for CI/CD pipelines, ensuring stakeholders have real-time visibility across extensive Kubernetes infrastructures.
We strive for excellence in driving the continuous integration, continuous delivery, and infrastructure efforts to maturity. This role requires a solid understanding of the delivery and lifecycle of cloud-native applications, operations, deployment to Kubernetes, and DevOps principles. You will be an enabler for efficient and reliable delivery of the highest quality for one of SAP's most strategic platform developments.
tbd
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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 410774 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure CI/CD DevOps Distributed Systems Docker Engineering GCP Generative AI Git GitHub Java Jenkins Kubernetes Microservices Pipelines Python Security Terraform
Perks/benefits: Career development Flex hours Startup environment Team events
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