Senior Platform Engineer - SAP Integration Suite - Integration Cell
SAP SE
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Job summary
SAP SE is seeking a Senior Platform Engineer in Bangalore to drive architectural decisions, define platform direction, and push security and reliability across the Runtime and AI gateway layers. You will shape multi-team collaboration and champion best practices across SAP Business AI Platform.
You will lead security-focused engineering across DevOps, monitoring, and API integration while advancing GenAI and MCP lifecycle management in a high-growth cloud environment.
Qualifications
- Expert-level backend engineering with focus on Go/Java/Node.js is required.
- Experience designing distributed systems, microservices, and event-driven architectures at scale.
- Ability to make architectural tradeoffs and lead cross-team design discussions.
- Knowledge of Kubernetes security concepts (RBAC, Pod Security, secrets management).
- Container security, image scanning, and supply-chain security practices.
- Policy-as-code (OPA/Gatekeeper) to enforce security across clusters.
- Hands-on cloud infrastructure experience (AWS/Azure/GCP/OpenStack).
- Identity and access management, least-privilege, workload identity.
- Data security: encryption at rest/in transit, key management.
- Networking security: TLS/mTLS, service mesh, zero-trust concepts.
- Threat modeling and compliance practices (CIS/NIST).
- Hybrid cloud security and secure on-prem connectivity.
Responsibilities
- Architect and lead development of large-scale Integration Cell runtime components.
- Define interfaces, set standards, and drive technical strategy.
- Improve platform security, scalability, and reliability with measurable outcomes.
- Serve as escalation point for complex issues and customer challenges.
- Mentor engineers and raise engineering standards through reviews and best practices.
- Influence product roadmap by identifying gaps and risks across teams.
- Collaborate with Architects, PMs, and SAP Business AI Platform teams.
Skills
Tools
Job description
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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.
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.
- 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
- 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
- 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
- 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
- Threat modeling - identify and design against attack surfaces early in the SDLC
- Tenant isolation security: network, compute, and data layer separation in multi-tenant environments
- Shift-left security: integrating security reviews and tooling into development workflows
- Jenkins, Concourse, Argo CD - CI/CD pipelines and GitOps
- Secure pipelines: secrets scanning, SAST/DAST, dependency vulnerability checks
- Dynatrace or equivalent (Prometheus, Grafana, Jaeger)
- Logging, tracing, alerting design for multi-tenant environments; SLO/SLI practices
- REST / SOAP, API gateway patterns
- 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
- 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
- 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
- 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
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
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.
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.
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.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Location: Bangalore, KA, IN, 560066
Expected Travel: 0 -
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