Senior Platform Engineer - SAP Big Data Fabric Services

About the job

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.

PURPOSE AND OBJECTIVES

What do you think about joining an innovative, engaged, and collaborative development environment, building a cutting-edge platform for big data with a team of experts worldwide? The Big Data Fabric Services (BDFS) enables SAP Lines of Business and customers to easily enter the world of Big Data and enable customers to integrate SAP data with external partner data engineering tools and non-SAP data.

We are looking for a Developer / Platform Engineer with strong backend development skills and working knowledge of cloud-native application development.

The role is suitable for an experienced engineer who can contribute independently to development, troubleshooting, quality, and delivery of platform services.

This is not a data scientist role. The team builds and operates platform services that enable scalable, secure, and reliable data storage and access.

THE PRODUCT

The major goal of BDFS is to enable SAP Lines of Business (LoB’s) and customers to enter the world of big data easily. To achieve that objective, we’re delivering Apache Spark as a service, a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters (Kubernetes in our case). We’re enabling data to be consumed from multiple hyperscaler agnostic data sources using the Delta Sharing communication protocol on top of the HANA Data Lake File Service (HDLFS), an SAP-managed cloud object storage that allows storage and consumption of data without multiple layers of ETL (Extract Transform and Load) systems and intermediary data storages (Lakehouse architecture).

WHAT YOU’LL DO

As a Senior Platform Engineer, you will be responsible for architecture, design, coding, testing, troubleshooting, and quality assurance activities in a development team.

In your day-to-day work, your tasks will include:

• Drive architecture and technical design discussions.
• Design scalable, reliable, secure, and maintainable cloud-native backend services.
• Own complex technical topics from analysis and design to implementation and delivery.
• Contribute to platform architecture decisions around service lifecycle, provisioning, credentials, configuration, resiliency, observability, and operational readiness.
• Develop backend services and platform components using Java and related technologies.
• Work on distributed applications and services running in cloud/container environments.
• Evaluate technical options, identify trade-offs, and recommend practical architecture solutions.
• Contribute to secure-by-design architecture and platform engineering practices.
• Ensure platform services follow security, reliability, scalability, and operational best practices.
• Contribute to architecture discussions around authentication, authorization, secrets management, encryption, and secure multi-tenant design.
• Support observability, monitoring, logging, alerting, and operational readiness practices for platform services.
• Build PoCs and validate technical approaches for complex platform topics.
• Analyze, troubleshoot, and resolve complex production and development issues.
• Review code, design documents, and implementation approaches to ensure high engineering quality.
• Mentor and guide junior developers and help improve technical maturity within the team.
• Support Product team and Architects in technical discussions and planning.
• Collaborate with cross-functional teams and stakeholders across locations.
• Work in an agile team that uses the Scrum framework to self-organize and work towards development goals.
• Contribute to engineering practices around clean code, CI/CD, testing, automation, security, observability, and operational excellence.

WHAT YOU BRING

Required Skills

• Bachelor’s or Master’s degree in Computer Science, Systems Analysis, Information Technology, Mathematics, Physics, Engineering, or related technical fields.
• Advanced or fluent English.
• Strong hands-on experience in backend/platform engineering.
• Excellent programming skills, preferably with Java and/or Go.
• Strong understanding of algorithms, data structures, space complexity, and run-time complexity.
• Strong understanding of object-oriented design, design patterns, clean code, and software architecture principles.
• Experience designing and building cloud-native distributed systems.
• Experience with Kubernetes, containerized applications, and cloud deployment models.
• Experience with at least one hyperscaler or cloud ecosystem such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of REST APIs, service integrations, distributed application design, and failure handling.
• Ability to define and evaluate architecture trade-offs around scalability, availability, reliability, maintainability, security, and cost.
• Ability to troubleshoot complex software and platform issues using technical and product knowledge.
• Experience with CI/CD, code review, test-driven development, and modern software delivery practices.
• Knowledge of software quality assurance and test methodologies, including unit testing, integration testing, and automation.
• Strong analytical and problem-solving skills.
• Ability to mentor developers and support technical decision-making.
• Ability to quickly learn new areas of knowledge and drive topics independently.
• High level of ownership, commitment, team spirit, flexibility, and initiative.

NICE TO HAVE

• Experience with cloud object storage services such as AWS S3, Azure Blob Storage, or Google Cloud Storage.
• Exposure to Object Store, service broker patterns, provisioning flows, credential handling, or service lifecycle management.
• Experience with infrastructure automation tools such as Terraform, Helm, or similar.
• Experience with Linux, scripting, DevOps, or infrastructure engineering.
• Experience with observability topics such as logging, metrics, tracing, monitoring, alerting, and incident analysis.
• Experience with secure multi-tenant cloud services.
• Experience with performance optimization, reliability engineering, or cost optimization.
• Exposure to Apache Spark, Delta Sharing, Lakehouse architecture, or big data platform services.
• Experience working with globally distributed agile/Scrum development teams.
• Experience in technical mentoring, architecture reviews, design reviews, or technical leadership.

LEARNING OPPORTUNITIES

• You will work on architecture and engineering topics for enterprise-grade cloud platform services.
• You will work on cloud-native backend services, distributed systems, and secure multi-tenant platform capabilities.
• You will influence architecture decisions around scalability, reliability, observability, automation, and operational readiness.
• You will collaborate with experienced developers, architects, product owners, and platform teams across locations.
• You will help shape engineering practices and mentor developers in backend and platform engineering topics.

MEET YOUR TEAM