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.
Summary:
You’ll join the SAP Procurement Engineering organization within our Intelligent Spend Management group, contributing to transforming how enterprises manage their procurement processes.
Your Authority
: You’ll influence technical decisions across the entire procurement portfolio, working directly with senior engineering leadership and product executives to shape SAP’s procurement technology strategy.
Your Legacy: Your architectural vision will define how enterprises manage procurement for the next decade, impacting millions of users and billions of dollars in global enterprise spend.
Your Competitive Impact
: Drive SAP’s technical differentiation in the market through innovative use of AI, advanced development practices, and platform capabilities that create sustainable competitive advantages.
Your Technical Vision
: Shape how enterprise software will be built for the next decade, influencing not just SAP but the entire industry through your architectural decisions and technical leadership.
Your Platform Power
: Work with SAP’s comprehensive Business Technology Platform and influence its evolution, giving you capabilities to implement technical visions that would be impossible at smaller companies or traditional enterprises.
Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.
The Role:
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-AI-Native Productivity Platform: Architect and lead an enterprise-grade, AI-powered engineering productivity and DevOps automation platform that combines agentic copilots, conversational workflows, intelligent orchestration, and continuous learning tailored to SAP’s procurement domain.
-Test Intelligence and CI/CD Acceleration: Establish intelligent test selection and change-impact analysis at portfolio scale to compress multi-hour pipelines to minutes, increase throughput, and materially reduce cloud spend without sacrificing quality.
-Kubernetes-Native Orchestration: Design and implement Kubernetes operators/CRDs for ephemeral environment provisioning, parallel test execution, and elastic scaling that optimize utilization while ensuring isolation and reliability.
-Universal Integration Framework: Build a secure framework for dynamic tool discovery, capability negotiation, and policy-aware routing (MCP-like), enabling AI agents to safely invoke internal systems, APIs, and automations.
-Developer Copilots and Interfaces: Deliver IDE/terminal assistants and intelligent web interfaces that understand repo/terminal context, retain cross-session memory, and support multi-modal interaction, driving daily adoption and measurable productivity gains.
-AI Workflow Engine: Introduce natural-language workflow creation with predictive optimization and cross-organizational learning; integrate with enterprise automation (e.g., n8n/Temporal/GitOps) to convert tribal knowledge into repeatable runbooks.
-Observability-Driven Incident Prevention: Implement proactive detection, alert correlation, automated diagnostics, and auto-remediation using metrics/logs/traces to reduce MTTR and prevent incidents before user impact.
-Knowledge Graph and Retrieval: Build a domain-aware knowledge graph unifying code, tests, services, incidents, and operational signals; enable RAG-based assistance for PR review, security checks, onboarding, and support triage.
-Responsible Enterprise AI: Define governance, safety, security, and explainability patterns for agentic systems on BTP and hyperscalers; ensure compliance, auditability, and human-in-the-loop controls.
-Global Platform Standards: Set platform and developer experience standards for AI-assisted development, CI/CD, and environment management that scale across SAP Procurement Engineering.
-Innovation and Business Impact: Translate platform capabilities into measurable outcomes—faster feedback cycles, lower MTTR, cost savings, higher release confidence, and accelerated feature delivery.
-Technical Complexity: Agentic AI at enterprise scale, intelligent CI/CD, Kubernetes operators, knowledge graphs, and domain-aware automation
-Ownership: Portfolio-wide engineering productivity and DevEx strategy; end-to-end ownership from architecture to measurable business outcomes
-Mentoring: Uplift organizational capabilities in AI/ML, platform thinking, SRE/DevOps, and modern testing practices across multiple engineering groups
-Cross-team Collaboration: Partner with product, SRE, Security, and platform organizations; influence company-wide technical strategy and work directly with senior leadership
-System Design: Define reference architectures and standards for AI-native productivity platforms, Kubernetes-native orchestration, and intelligent testing; contribute patterns back to SAP’s enterprise architecture
-Experience: 10–15+ years with 7–10+ years in platform/architecture leadership; deep expertise in AI-enabled platforms, cloud-native systems, CI/CD, and developer experience
Role Requirements:
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-Strategic Technology Leadership:
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-Polyglot Engineering: Deep expertise in Java/JVM (Spring), plus proficiency in Go and/or Python and TypeScript/Node for platform, tooling, and operator development.
-Technology Strategy: Proven track record evaluating and adopting emerging technologies (LLMs, multi-agent RL, vector search, graph databases) and converting them into scalable, secure enterprise platforms
-Enterprise Integration Mastery:
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-Data Architecture: Experience with graph databases and vector stores; strong grounding in data governance, lineage, and access controls
-APIs and Protocols: Advanced knowledge of REST, GraphQL, gRPC, OAuth2/OIDC; familiarity with OData and enterprise integration patterns
-Eventing and Messaging: Kafka or equivalent streams; real-time processing and CQRS patterns; WebSockets for collaborative experiences
-Platform Architecture:
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-Cloud-Native at Scale: Kubernetes (EKS/GKE/AKS), service mesh, multi-tenant SaaS, global resiliency and performance
-Kubernetes Operators: CRD design, reconciliation loops, intelligent scheduling, cluster autoscaling, and cost-aware resource management
-Developer Platforms: Internal developer platform design (e.g., Backstage), API management, golden paths, and secure toolchains on BTP and major clouds
-AI and Modern Practices:
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-Production LLM/Agent Systems: Retrieval-augmented generation, tool-use/Function Calling, prompt/retrieval engineering, evaluation, safety, and observability
-Reinforcement Learning: Practical experience applying multi-agent RL (e.g., actor-critic) to classification/decision problems and continuous improvement loops
-MLOps/LLMOps: Model hosting/gateways, feature stores, vector indexes, policy enforcement, red-teaming, and telemetry for AI quality
-DevOps Excellence: Trunk-based development, GitOps, progressive delivery, automated experimentation, and performance/scalability testing
-CI/CD and Test Intelligence:
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-Change-Impact Analysis: Static code analysis, dependency graphs, and historical signal mining to select the right tests with high precision
-Pipeline Tooling: Expertise with Jenkins, GitHub Actions, GitLab CI, Tekton/Argo; caching, parallelization, and flaky-test mitigation strategies
-Metrics and Outcomes: Demonstrated reductions of multi-hour pipelines to sub-30 minutes with maintained or improved coverage
-Observability, SRE, and Incident Automation:
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-Full-Stack Telemetry: OpenTelemetry, Prometheus, Grafana, ELK/Splunk; SLOs, error budgets, and auto-diagnostics
-Automated Remediation: Alert deduplication/correlation, runbooks-as-code, and safe remediation workflows that reduce MTTR
-Security, Compliance, and Responsible AI:
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-Data Security: Secrets management, least-privilege design, governance in regulated enterprise contexts
-Responsible AI: Bias testing, explainability, audit trails, human-in-the-loop, and policy-compliant agent behavior
-Industry Influence:
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-Evidence of thought leadership through talks, standards participation, publications, or open-source contributions; ability to influence technology adoption across large organization
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related se
