SAP BTP developer

MUST HAVE:

- CAP / SAP BTP

1. SAP CAP (Cloud Application Programming Model, Node.js) as primary development platform

2. SAP BTP (Cloud Foundry) deployment & operations

3. OData API design, data modeling & service consumption patterns

4. Test Driven Development (Jest / ABAP Unit), integration & performance testing

5. Designing architecture in complex system landscapes

6. Cross-team architecture alignment & reuse strategies

7. Translating business requirements into technical architecture

- ABAP

1. ABAP OO (7.54+) – reading, extending & maintaining services

2. ABAP Gateway / OData – API consumption & exposure (on-prem & cloud systems)

3. Performance tracing, analysis & query optimization

- General

1. OOP & software engineering best practices

2. Observability & operational tooling for support teams

3. Fluent English, experience in international / multi-site teams

- AI / GenAI

1. Understanding LLM capabilities & limitations in enterprise contexts

2. Integration of AI services into CAP & ABAP (REST / SDK)

3. Prompt engineering for reliable business outputs

4. End-to-end AI integration in CAP (service consumption, error handling, fallback patterns)

5. Agentic concepts (tools, orchestration, state, when agents add value vs. anti-patterns)

GOOD TO HAVE:

- SAP AI Stack

1. SAP AI Core & Generative AI Hub (BTP deployment & consumption)

2. Joule Studio (custom skills & copilot extensions)

3. LangGraph on BTP (multi-step agentic workflows)

4. Agentic patterns (tool calling, ReAct, human-in-the-loop)

5. AI observability (token tracking, hallucination detection via AI Launchpad / MLflow)

- SAP Platform

1. SAP API Management (proxy creation & maintenance)

2. Dynatrace / Kibana (logging & observability)

3. NetWeaver destinations, authorization concepts & OData

4. SAP S/4HANA, SAP HCM LSO

5. SAFe (Scaled Agile Framework)

6. Data protection regulations (GDPR & global compliance)

NICE TO HAVE:

1. Vector databases (RAG pipelines & semantic search: SAP HANA Cloud Vector Engine, pgvector, etc.)

2. AI experiment tracking & agent observability (MLflow or equivalent)

3. SAP Build Code with Joule (AI-assisted CAP/ABAP development)

4. UI5 / Fiori annotations in CAP

5. Azure DevOps / CI-CD troubleshooting

Mindset / Expectations

1. Comfortable with legacy systems, monolith modernization & on-prem integrations (ERP, CRM, MDG)

2. Ability to work independently at near lead-developer level

3. Coaching & guiding other developers on architecture & design