Custom Software Engineer

Accenture · India

India7–10 yearsPosted 15 Oct 2026Last checked 15 Oct 2026

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About the role

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : SAP BTP Integration Suite Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Independently deliver Integration Suite engineering, assessment and remediation activities and escalate risks with traceable evidence. Roles & Responsibilities: 1. Develop and review iFlows, message mappings, value mappings, Groovy scripts, XSLT, routing, exception handling and reusable processes. 2. Configure REST, SOAP, OData, IDoc, RFC, SFTP, HTTP and JMS adapters plus destinations and Cloud Connector connectivity. 3. Implement secure authentication, certificates, credentials, OAuth, mTLS and approved logging without exposing sensitive data. 4. Execute unit and integration tests, payload validation, negative tests, performance checks and deployment verification. 5. Monitor message-processing logs, troubleshoot failures, perform root-cause analysis and support controlled reprocessing. 6. Maintain technical designs, RAG ratings, defects, risks, dependencies, evidence and release or cutover tasks. Professional & Technical Skills: 1. Develop and review iFlows, message mappings, value mappings, Groovy scripts, XSLT, routing, exception handling and reusable processes. 2. Configure REST, SOAP, OData, IDoc, RFC, SFTP, HTTP and JMS adapters plus destinations and Cloud Connector connectivity. 3. Implement secure authentication, certificates, credentials, OAuth, mTLS and approved logging without exposing sensitive data. 4. Execute unit and integration tests, payload validation, negative tests, performance checks and deployment verification. 5. Monitor message-processing logs, troubleshoot failures, perform root-cause analysis and support controlled reprocessing. 6. Maintain technical designs, RAG ratings, defects, risks, dependencies, evidence and release or cutover tasks. AI and Digital Expectations: 1. Use SAP Generative AI, Joule, Microsoft Copilot and other approved AI tools to analyse integration designs, mappings, scripts, logs, defects, test evidence, RAID records and operational data identify patterns, dependencies, inconsistencies and anomalies. 2. Apply human validation, confidentiality, security, bias awareness, traceability and compliance with client and organisational policies to all AI-assisted outputs. Leadership and Stakeholder Competencies: 1. Communicate evidence-based integration findings clearly and collaborate across business, functional, architecture, security, application, testing, operations, SI and third-party teams. 2.

Skills mentioned

  • LLMs
  • SAP

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