Developer (multiple positions available)
About The Position
SAP America, Inc. is hiring multiple Developers at its Palo Alto, California location to design and develop robust cloud-native applications using the SAP Cloud Application Programming (CAP) model. The role includes building SAP BTP applications and extensions, developing scalable SAP Fiori applications, implementing generative AI and distributed-data workflows, and automating SAP BTP infrastructure. It also involves data privacy and governance, large-scale data pipelines, performance proof-of-concepts, and multi-region database replication and scaling validation. The position is hybrid. Applicants need a qualifying degree and progressive post-baccalaureate experience, including specified experience developing SAP BTP and related applications and infrastructure. Travel is not required. The annual base salary range is $172,369–$206,460; the targeted combined compensation range, including variable incentive target, is $172,369–$229,400. The actual offer depends on factors such as education, skills, experience, role scope, and location. Variable incentive payouts depend on company and individual performance. Benefits are referenced through SAP North America Benefits; details are not included in the posting.
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science, Engineering, or a related field and five years of progressive post-baccalaureate experience in the offered job or a related occupation; alternatively, a master’s degree or foreign equivalent in one of these fields and three years of relevant experience.
- At least three years of experience developing SAP BTP applications using the SAP Cloud Application Programming (CAP) model.
- At least three years of experience performing CDS/CQL data modeling for SAP HDI containers.
- At least three years of experience creating ABAP Cloud extensions integrated via SAP Event Mesh.
- At least three years of experience packaging applications using Cloud MTA build tools.
- At least three years of experience implementing generative AI workflows for business process automation using SAP Build and distributed data processing using SAP Datasphere.
- At least three years of experience enforcing data privacy with SAP HANA Data Anonymization and deploying fine-tuned models to SAP AI Core via the SAP FedML library.
- At least three years of experience developing secure enterprise integration flows (iFlows) within SAP Integration Suite, using Groovy scripting for message processing, and enforcing security with OIDC principal propagation via SAP Cloud Connector and XSUAA.
- At least three years of experience automating SAP BTP infrastructure provisioning for Kyma and Cloud Foundry using BTP CLI scripts to manage service instances, subaccount subscriptions, role collections, and entitlements.
- At least three years of experience developing scalable SAP Fiori apps using SAPUI5, creating custom XML views and fragments, and implementing OData V4 model binding and routing configurations integrated with SAP Cloud SDK.
- At least three years of experience implementing scalable data processing pipelines using PySpark and Databricks and using Apache Arrow Flight for real-time, zero-copy data interoperability across data lakehouses.
- At least one year of experience developing hands-on proof-of-concepts to evaluate distributed-system performance using JMeter, implementing multi-region PostgreSQL database replication, and validating horizontal scaling logic within cloud-based clusters.
Responsibilities
- Design and develop cloud-native applications using the SAP Cloud Application Programming (CAP) model.
- Perform CDS/CQL data modeling for SAP HDI containers and package deployments using Cloud MTA build tools.
- Build ABAP Cloud extensions and facilitate real-time communication through SAP Event Mesh.
- Develop SAP Fiori applications with SAPUI5, custom XML views and fragments, OData V4 binding and routing, and SAP Cloud SDK integration.
- Implement generative AI workflows in SAP Build to automate business processes.
- Orchestrate distributed data processing using SAP Datasphere and deploy fine-tuned models to SAP AI Core using SAP FedML.
- Develop scalable data pipelines using PySpark and Databricks, using Apache Arrow Flight for real-time, zero-copy data interoperability.
- Enforce data privacy using SAP HANA Data Anonymization.
- Develop secure enterprise integration flows in SAP Integration Suite, use Groovy for message processing, and enforce security with OIDC principal propagation via SAP Cloud Connector and XSUAA.
- Automate SAP BTP infrastructure provisioning for Kyma and Cloud Foundry using BTP CLI scripts to manage service instances, subaccount subscriptions, role collections, and entitlements.
- Conduct hands-on proof-of-concepts to evaluate distributed-system performance using JMeter.
- Implement multi-region PostgreSQL database replication and validate horizontal scaling logic within cloud-based clusters.
Benefits
- The posting refers applicants to SAP North America Benefits for a summary of benefits and eligibility requirements, but does not specify individual benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
