Cloud-Native Developer: AI, Fiori & CAP

SAP IT Business Systeme; Palo Alto (CA); On-site; USD 172,000 - 206,000; Full time

Job summary

SAP America, Inc. seeks a Developer to design and develop cloud-native apps using CAP and SAPUI5 at its Palo Alto location. You will implement CDS/CQL data modeling, SAP HANA data privacy, and multi-region deployment strategies with Kyma/CF.

Strong SAP BTP expertise and AI workflow experience are essential. The role requires a Bachelor's or Master’s in CS/Engineering with 3–5 years of hands-on SAP development, plus experience with Databricks, JD, and JMeter for performance testing.

Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, or a related field.
• Five (5) years of progressive post-baccalaureate experience in the job offered or related occupation.
• Alternative: Master’s degree or foreign equivalent in Computer Science, Engineering, or a related field and three (3) years of experience.

Responsibilities

• Design and develop robust cloud-native applications using CAP model.
• Develop high-performance, scalable SAP Fiori applications with SAPUI5.
• Architect and implement Generative AI workflows and real-time communications.
• Lead PoCs to benchmark distributed systems and multi-region replication.
• Automate BTP infrastructure provisioning and manage service entitlements.
• Ensure data governance and privacy with SAP HANA Data Anonymization.

Skills

ABAP Cloud

CAP

SAP Fiori

OData V4

Data security

HANA

Databricks

JMeter

PostgreSQL

Spark

Education

Bachelor's degree

Master's degree

Tools

SAP Build

KYMA/CF

Job description

SAP America, Inc. seeks a Developer to design and develop cloud-native apps using CAP and SAPUI5 at its Palo Alto location. You will implement CDS/CQL data modeling, SAP HANA data privacy, and multi-region deployment strategies with Kyma/CF.

Strong SAP BTP expertise and AI workflow experience are essential. The role requires a Bachelor's or Master’s in CS/Engineering with 3–5 years of hands-on SAP development, plus experience with Databricks, JD, and JMeter for performance testing.