Staff Sap Basis Platform Engineer

Rivian Rivian · Auto · Atlanta, GA · Information Technology

This role focuses on engineering intelligent, automated, and AI-driven SAP platforms in the cloud, specifically for SAP S/4HANA. Responsibilities include leading modernization projects, automating manual tasks with IaC and CI/CD, implementing full-stack SAP observability and AIOps for predictive system health, and ensuring security. The role requires deep SAP Basis expertise, platform engineering mindset, and experience with cloud platforms and automation tools.

What you'd actually do

  1. Lead complex modernization projects and design modern SAP landscapes, executing successful SAP S/4HANA upgrades (e.g., release and database upgrades), and migrations to RISE with SAP and SAP Business Technology Platform (BTP).
  2. Champion the shift from traditional SAP operations to proactive platform engineering by transitioning manual tasks (system copies, transports, reactive support) to automated, self-healing workflows using Infrastructure as Code (IaC) and CI/CD pipelines.
  3. Implement full-stack SAP observability, AIOps, predictive alerts, and root cause analysis tools to move from reactive troubleshooting to predictive system health management for the digital core.
  4. Work effectively with minimal supervision to improve functional deliverables. Systematically track project progress, rigorously enforce architectural standards, and ensure the strategic health and scalability of high-availability enterprise systems.
  5. Drive alignment across diverse technical and business stakeholders. Make compelling cases for change, secure early buy-in, and bridge the gaps between traditional IT and modern DevOps mindsets by actively understanding different perspectives and resolving conflicts.

Skills

Required

  • Advanced SAP Basis expertise
  • Enterprise-level SAP S/4HANA initiatives
  • Complex system upgrades
  • RISE with SAP migrations
  • Platform engineering mindset
  • Architecture
  • Cloud orchestration
  • Innovation
  • Business alignment
  • SAP S/4HANA
  • SAP HANA databases
  • RISE with SAP migration methodologies and operational frameworks
  • SAP BTP Administration
  • Hyperscalers hosting SAP environments (AWS, Microsoft Azure, and/or Google Cloud)
  • End-to-end SAP observability
  • Advanced APM
  • Distributed tracing
  • AI-driven monitoring tools (e.g., SAP Cloud ALM, Datadog, Dynatrace, AppDynamics)
  • Automation tools (Ansible, Terraform)
  • Scripting languages (Python, PowerShell)
  • Linux systems
  • Containerization (Docker)
  • Kubernetes
  • Modern OS/Middleware integration

Nice to have

  • SAP Certifications (e.g., SAP S/4HANA, SAP BTP)
  • Cloud Certifications (AWS or GCP)

What the JD emphasized

  • AI-driven SAP platforms
  • AIOps
  • predictive alerts
  • root cause analysis tools
  • AI-driven monitoring tools