Senior Platform Engineer - SAP Big Data Fabric Services
SAPSão Leopoldo, BR, 93022-718 · full time · Senior
Listed on SAP’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior backend engineer role building cloud-native platform services that enable big data processing and storage at scale, using Apache Spark and Kubernetes. This suits experienced developers who can drive technical architecture decisions and mentor others while working on distributed systems for enterprise customers.
Our summary, not SAP’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Spark
- CI/CD
- Go
- Google Cloud Platform
- Helm
- Java
- Kubernetes
- Linux
- Microsoft Azure
- REST APIs
- Terraform
Log in to see which of these are already on your profile.
What they ask for
Required
- Bachelor's or Master's degree in Computer Science or related technical field
- Advanced or fluent English
- Strong backend and platform engineering experience
- Excellent Java or Go programming skills
- Deep understanding of algorithms, data structures, and complexity analysis
- Object-oriented design and clean code principles
- Cloud-native distributed systems design and implementation
- Kubernetes and containerized application experience
- At least one major cloud provider (AWS, Azure, or GCP)
- REST API and service integration expertise
- Architecture trade-off analysis capability
- Complex software troubleshooting ability
- CI/CD, code review, and test-driven development experience
- Software quality assurance and testing knowledge
- Analytical and problem-solving skills
- Ability to mentor developers
- Self-directed learning and topic ownership
- Team commitment and initiative
Nice to have
- Cloud object storage experience (S3, Azure Blob, GCS)
- Object store and service broker patterns
- Infrastructure automation (Terraform, Helm)
- Linux, scripting, or DevOps experience
- Observability and monitoring expertise
- Secure multi-tenant cloud service experience
- Performance or reliability optimization background
- Apache Spark or Lakehouse architecture knowledge
- Distributed agile/Scrum team experience
- Technical mentoring or architecture review experience