DevOps Engineer (SAP Analytics Cloud)

As a DevOps Engineer in the Platform DevOps organization, you will design, develop, implement, test, and maintain the platforms and services that support SAP Analytics Cloud (SAC). You will combine software engineering, automation, and operations to deliver secure, scalable, and high-performing cloud-native solutions. This role focuses on CI/CD, container orchestration, infrastructure-as-code, and operational excellence to ensure the reliability and efficiency of SAC-related services and integrations used across NS2.

Responsibilities

• Design, implement, and manage cloud-native platforms and services that support SAC, using architectures such as microservices, containerization (e.g., Kubernetes, AWS EKS), and serverless.
• Build and maintain CI/CD pipelines for SAC-related applications, services, and integrations, enabling frequent, reliable, and secure deployments.
• Utilize modern web and service development stacks to deliver scalable, maintainable SAC extensions, integrations, and supporting services.
• Implement and support modern data processing technologies (e.g., NoSQL stores, data lakes) as needed for SAC data flows and analytics use cases.
• Apply agile software delivery practices and DevOps methodologies to improve release cadence, quality, and feedback loops.
• Use infrastructure-as-code (e.g., Terraform) to provision and manage cloud infrastructure supporting SAC environments.
• Automate configuration management and operational tasks using tools such as Ansible.
• Deploy and orchestrate services using Kubernetes and Helm charts to ensure consistent, repeatable deployments.
• Implement secure configuration and secrets management using tools such as HashiCorp Vault, ensuring compliance with NS2 security standards.
• Monitor, troubleshoot, and optimize SAC-related platforms and services for performance, availability, and cost efficiency.
• Gather and analyze technical and business requirements, document specifications, and design solutions aligned with SAC architecture and NS2 guidelines.
• Develop new automation, tooling, and services; enhance and refactor existing solutions to improve reliability, scalability, and maintainability.
• Prepare detailed technical designs, implementation plans, and test plans; perform unit, integration, and regression testing.
• Create and support deployment/migration packages for system testing, user acceptance testing, and production releases.
• Perform post-implementation validation, root-cause analysis, and defect resolution for issues discovered in testing and production.
• Collaborate closely with cross-functional teams (SAC product owners, data engineers, security, cloud operations, and application teams) to deliver end-to-end SAC solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related technical field.
• 5+ years of experience in DevOps, platform engineering, or software engineering, preferably supporting analytics, SaaS, or cloud-native platforms.
• Strong competence with tools, procedures, and programming languages used in system development, automation, and platform integration.
• Experience supporting or integrating with enterprise analytics platforms; SAC experience strongly preferred or experience with similar BI/analytics solutions (e.g., Tableau, Power BI, SAP BW/4HANA).
• Solid understanding of cloud technologies, especially AWS services (compute, networking, storage, IAM) and container orchestration (Kubernetes, AWS EKS).
• Hands-on experience with:
• CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or similar)
• Infrastructure as Code (e.g., Terraform)
• Configuration management and automation (e.g., Ansible)
• Kubernetes packaging and deployment (e.g., Helm)
• Familiarity with secrets management and security practices using tools such as HashiCorp Vault, and with securing cloud-native workloads.
• Experience working in agile delivery environments and contributing to projects of moderate to high complexity.
• Strong foundation in computer science fundamentals, including data structures, algorithms, and software design principles.
• Demonstrated experience in large systems/platform design and development, including in-depth troubleshooting and optimization of both new and legacy production systems.
• Ability to work independently on assigned sub-projects while collaborating effectively with cross-functional teams and stakeholders.

Skills

• Proven ability to deliver high-quality outcomes for complex platform and automation initiatives in a DevOps environment.
• Strong problem-solving and analytical skills, with a focus on reliability, performance, and continuous improvement of SAC-related services and pipelines.
• Clear written and verbal communication skills, able to explain technical concepts to both technical and non-technical stakeholders.
• Collaborative mindset with experience working across development, security, cloud, data, and operations teams.