Platform Engineering Expert

SAP•Stanford, CA

7d•$198,200 - $420,000•Hybrid

About The Position

Join an innovative, collaborative development environment and help build secure data access and connectivity capabilities as part of SAP’s Big Data Fabric Services (BDFS). We are looking for a Senior Platform Engineer who can contribute across design, implementation, operability, and technical problem-solving in the SAP Data Accelerator and broader BDFS context. We do not work as data scientists analyzing or extracting data directly. We build the platform capabilities that make this possible. SAP Data Accelerator focuses on secure partner connectivity and access to SAP business data across SAP ERP and LoB applications in on-premise, private cloud, and public cloud landscapes. This work sits within the broader BDFS portfolio, which enables SAP Lines of Business and customers to enter the world of big data more easily. BDFS delivers platform capabilities such as Apache Spark as a service, multi-language data processing on Kubernetes-based infrastructure, and access to hyperscaler-agnostic data sources using the Delta Sharing protocol on top of the HANA Data Lake File Service (HDLFS).

Requirements

Core engineering and technical leadership
Bachelor’s degree in Computer Science, Systems Analysis, Information Technology, Mathematics, Physics, or Engineering
Advanced or fluent English proficiency
Excellent programming skills with knowledge of algorithms, data structures, and run-time complexity (Big-O notation)
Strong hands-on expertise in Java, Python, and/or Go within cloud-native and Kubernetes-based environments
Strong analytical and problem-solving abilities
Ability to troubleshoot complex software issues using technical and product knowledge
Good communication skills
Willingness to continuously learn new technologies and business processes
Strong expertise in networking concepts relevant to distributed systems, secure partner connectivity, and cloud environments.
Strong command of secure connectivity and platform engineering patterns, including OAuth 2.0, mTLS, multi-tenant service design, and proxy or tunnel-based architectures.
Strong background in production hardening, SRE practices, observability, and scalable multi-tenant service operation.
Experience with observability practices including metrics, tracing, health checks, alerting, and OpenTelemetry.
Experience with scalability, autoscaling, capacity management, and performance tuning for distributed services.
Experience with secure software engineering, threat modeling, and automated testing across unit, integration, end-to-end, and scale scenarios.
Knowledge of AI-assisted and agentic engineering tools, and the ability to use them effectively across the software development lifecycle.
Strong expertise in SAP backend integration, including SAP ERP (ECC or S/4HANA), the NetWeaver stack, and related extensibility patterns.
Experience shaping technical direction for secure partner connectivity and SAP data access scenarios.
Experience designing API-driven platform capabilities such as self-service enrollment, endpoint discovery, connection and session management, capacity management, or related control-plane workflows.
Experience shaping control-plane and data-plane architectures for secure, scalable enterprise data access.
Willingness to take ownership, drive new developments, and work creatively on challenging and groundbreaking tasks in accordance with the highest technical standards.
Demonstrates a high level of commitment, team spirit, flexibility, and initiative.

Nice To Haves

Rust development experience
Hands-on ABAP development experience
Experience building SAP add-ons or backend extensions
Current hands-on experience using AI-assisted or agentic tools across the software development lifecycle

Responsibilities

Contribute across design, coding, testing, operability, and quality assurance in a development team, while also helping shape architecture and technical direction.
Assess and solve issues in new or existing code and work with high attention to detail, reliability, and efficiency.
Collaborate closely with team members and stakeholders to ensure success.
Work on design, coding, and quality assurance tasks related to strategic product capabilities.
Drive platform decisions that balance security, scalability, operability, and product evolution across current and future phases.
Engage in development activities using Java, Python, and Go, with Rust considered an advantage.
Collaborate within an agile team employing the Scrum framework to self-organize and achieve development objectives.
Mentor and guide team members to promote professional growth and engineering excellence.
Support the team in technical discussions, architectural topics, and platform strategy.
Help build PoCs, evaluate technical options, and drive important engineering decisions.