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SAP BTP Java Developer

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Onsite

SAP BTP Java Developer

CIEL HR

SAP BTP Java Developer

Skills

SQL QueriesDockerTypescriptJavaHTMLSpring BootSAP HANAGitAISAP ERPJavascript

7 days ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,250,000 / year

Location:

Bagalur, Karnataka 562122, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


-Position:SAP BTP Java Developer

  • Role Type: Client-facing
  • Location: Bengaluru (Hybrid / On-site)
  • Experience Required: 3+ years
  • Openings: 5
  • Key Skills: Java (mandatory) and other skills detailed in the below
  • Notice Period: Immediate joiners (15 days or less)
  • Shifts: Regular and UK shifts
  • Compensation: Up to 32 LPA

Job Description:

1. SAP BTP & Cloud-Native Development

SAP BTP architecture and core services

Cloud Foundry / Kyma runtime deployment and operations

SAP Identity Authentication (IAS) and Authorization (IPS)

Destination, Connectivity, XSUAA, and HANA Cloud services

SAP Integration Suite and event-driven integration patterns

CI/CD and DevOps on BTP

Monitoring, logging, tracing, and application security

Cloud-native design principles and 12-factor applications

2. CAP Java Core Development

Strong Java / Spring Boot fundamentals

SAP Cloud Application Programming Model (CAP)

CDS modeling and service definitions

OData V4 and REST API design

CAP Java event handlers and service implementations

Custom actions / functions

Draft handling, validations, determinations, and transactions

Persistence with SAP HANA Cloud

Authorization and role-based access

External service consumption and integrations

Messaging / events and asynchronous processing

CAP testing and mocking strategies

3. Full-Stack Development

Frontend

SAPUI5 / Fiori framework

Fiori Elements and flexible programming model

TypeScript / JavaScript

HTML5 / CSS

OData consumption and UI annotations

Metadata-driven development

Backend

Java, Spring Boot, CAP Java

API design and integration

SQL / HANA data modeling

Authentication and authorization

Performance optimization

Engineering

Git version control

Docker containerization

CI/CD pipelines

SonarQube / static code analysis

Automated testing frameworks

4. Agent Development & AI

LLM fundamentals: tokens, context, embeddings, hallucinations, temperature

Prompt engineering and structured outputs

Retrieval-Augmented Generation (RAG)

Vector databases and vector search

Tool / function calling with AI agents

Human-in-the-loop patterns

Agent evaluation and observability

AI security, privacy, and responsible AI principles

5. AI + CAP Integration (Senior / Architect Level)

Exposing CAP services as agent tools

Calling AI / LLM services from CAP Java

Building AI-assisted business processes

Retrieval of business context from HANA Cloud

Secure propagation of user identity across AI chains

Controlling agent read / write permissions

Designing deterministic business logic around non-deterministic

AI

Error handling, fallback mechanisms, and auditing agent actions

Note: Candidates should be able to design and implement end-to-end flows of the form:

Fiori UI CAP Java Agent Business Tools/APIs SAP HANA / SAP Systems

6. Quality Mindset Aligned with SAP Unified Engineering

Shift-left quality and clean code / SOLID principles

Code reviews and pair programming

Unit, integration, API, UI, and end-to-end testing

Test automation and regression testing

Negative / error-path and security testing

Performance and load testing

Accessibility testing

Static code analysis and dependency / vulnerability scanning

Observability and production diagnostics

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