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.

WHAT YOU'LL 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 / Node.js

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

8–12 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

SAP’s 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.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

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