
Job Overview
Location
Bangalore, India
Job Type
Full-time
Category
Software Engineering
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • As a Salesforce Software Engineer at Celonis, you will join the Sailfin Accounts Receivable (AR) Team, a product engineering group within the Finance and Accounting domain, building and maintaining an enterprise AR product used by global customers to unlock productivity through AI, data, and intelligence in business processes.
- • Day to day, you will design, develop, and optimize Salesforce solutions using Apex, Lightning Web Components (LWC), and the Lightning Framework; translate business needs into scalable solutions; own the full development lifecycle from design to support; implement best practices in configuration, security, and performance; build and maintain integrations via REST/SOAP APIs and middleware; ensure code quality through unit testing and code reviews; collaborate in DevOps workflows using Git and CI/CD tools; stay current with Salesforce releases; and partner with the AI team to integrate Python-based services and LLM workflows into the AR product.
- • The team is primarily based in India, operates with modern engineering standards, automation, and AI/ML-enabled components, and is part of Celonis—a global leader in Process Intelligence technology and one of the world’s fastest-growing SaaS firms headquartered in Munich and New York with over 20 offices worldwide.
- • In this role, you will deepen your expertise in Salesforce development, gain hands-on experience integrating AI/LLM capabilities into enterprise financial products, contribute to high-impact SaaS innovation, and grow your career through clear internal mobility paths, mentorship, and dedicated learning programs at a company shaping the future of business process intelligence.
Skills & Technologies
About Celonis SE
Celonis SE offers a process mining platform that extracts data from enterprise systems such as SAP, Oracle, and Salesforce to visualize, analyze, and optimize business processes in real time. Its Execution Management System applies machine learning and automation to reveal inefficiencies, reduce costs, and improve compliance across finance, supply chain, customer service, and IT operations. Founded in 2011 and headquartered in Munich, Germany, the company serves Fortune 500 organizations worldwide through cloud and on-premise deployments.
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