Senior Platform Engineer SAP Integration Suite Integration Cell

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

WHAT YOULL BUILD:

As a Senior Platform Engineer you will define technical direction drive architectural decisions across the platform represent the team in cross-org discussions and raise the bar for engineering quality and security. The scope is expanding to include AI Gateway capabilities and MCP server management positioning Integration Cell as the unified runtime for both traditional integration and AI-native workloads making this a high-growth forward-looking platform at the intersection of enterprise integration and AI infrastructure.

Role Expectations

• Architect and lead the development of critical large-scale components of Integration Cell runtime
• Own technical strategy decision making define interfaces set standards
• Drive platform-wide security scalability and reliability initiatives with measurable outcomes
• Act as a technical escalation point for complex production issues and customer-facing challenges
• Act as a force multiplier raise the technical bar through design reviews mentorship and establishing engineering best practices
• Influence product roadmap by proactively identifying gaps risks and opportunities
• Collaborate with Architects Product Managers and peer teams across SAP Business AI Platform

WHAT YOU BRING:

Core Engineering

• Expert-level development skills in Go / Java /
• Deep proven experience designing distributed systems microservices and event-driven architecture at scale
• Ability to make and defend architectural tradeoffs; experience with system design across multiple teams

Cloud & Containerization

• Docker Kubernetes Helm production-grade multi-tenant workload management
• Kubernetes security: RBAC Pod Security Admission secrets management network policies
• Container security: image scanning supply chain security (SBOM signing)
• Policy-as-code: OPA / Gatekeeper for centrally enforcing security and governance rules across clusters pod security image provenance resource constraints and tenant isolation

Infrastructure & Cloud Security

• AWS / Azure / GCP / OpenStack hands-on cloud infrastructure experience
• Identity & Access: IAM least-privilege workload identity federated authentication
• Data security: encryption at rest and in transit key management (KMS/HSM) secrets rotation
• Networking security: TLS/mTLS service mesh (Istio/Linkerd) zero-trust architecture private endpoints
• Threat & compliance: security benchmarks (CIS NIST) vulnerability management audit logging
• FIPS 140-2/140-3 awareness for cryptographic compliance in regulated environments
• Hybrid cloud security: secure connectivity across on-prem and multi-cloud environments

Application & Runtime Security

• Threat modeling identify and design against attack surfaces early in the SDLC
• Secure coding practices OWASP awareness input validation at service boundaries
• Tenant isolation security: network compute and data layer separation in multi-tenant environments
• Shift-left security: integrating security reviews and tooling into development workflows

DevOps

• Jenkins Concourse Argo CD CI/CD pipelines and GitOps
• Secure pipelines: secrets scanning SAST/DAST dependency vulnerability checks

Monitoring

• Dynatrace or equivalent (Prometheus Grafana Jaeger)
• Logging tracing alerting design for multi-tenant environments; SLO/SLI practices

Integration & API Security

• REST / SOAP API gateway patterns
• API security: OAuth 2.0 JWT mTLS rate limiting
• API threat protection: payload inspection schema validation injection attack prevention at the gateway level
• Token lifecycle management: introspection revocation and refresh strategies across distributed services
• Audit & non-repudiation: tamper-proof audit logs for API calls and admin actions critical for enterprise compliance and forensic traceability

Generative AI MCP & AI Gateway

• Hands-on understanding of GenAI LLMs and RAG ideally with production or near-production exposure
• MCP server lifecycle management: deployment versioning health monitoring and security of MCP servers
• MCP security: authentication between AI agents and MCP servers tool-level authorization and access control
• MCP observability: tracing agent-to-tool calls auditing tool invocations for compliance
• AI Gateway patterns: routing load balancing and failover across multiple LLM providers
• LLM-specific security: prompt injection defense input/output content filtering PII redaction
• Token-based rate limiting and cost governance across tenants for LLM API consumption
• AI observability: latency token usage and model response quality tracking per tenant
• A2A (Agent-to-Agent) communication patterns and security considerations

Profile Requirement

• 812 years in backend / platform / infrastructure engineering
• Demonstrated history of owning large-scale cross-team technical initiatives from inception to production
• Experience setting technical direction and influencing architectural decisions beyond own team
• Strong communication skills comfortable engaging with senior stakeholders and customers
• Growth mindset strong sense of ownership and a collaborative attitude

WHERE YOU BELONG:

SAP Business AI Platform INT ABS API Business Services works on Integration Suite offering services such as SAP Business Accelerator Hub and SAP API Management for seamless enterprise connectivity. Integration Cell introduces a dedicated SAP-managed runtime architecture with improved isolation scalability and performance.

#DevT3

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 services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purpose-driven and future-focused with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries people or platforms we help ensure every challenge gets the solution it deserves. At SAP you can bring out your best.

We win with inclusion
SAPs culture of inclusion focus on health and well-being and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP we believe we are made stronger by the unique capabilities and qualities that each person brings to our company and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

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AI Usage in the Recruitment Process

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Requisition ID: 457209 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid