Engineer II - Intelligent Automation
Levi Strauss & Co. · India
Calling all originals: At Levi Strauss & Co., you can be yourself - and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit - and your future.
Summary of the role:
As an Engineer II - Intelligent Automation, you will help support and improve SAP-based automation solutions across Finance, Order-to-Cash, Procure-to-Pay, Direct-to-Consumer, and master-data processes. Working with experienced engineers and business partners, you will assist with requirements, testing, monitoring, documentation, and resolution of routine production issues. This role is suited for an early-career SAP engineer who has foundational knowledge of automation and integration concepts and is motivated to build hands-on experience delivering reliable business solutions.
About the Job
- Provide day-to-day production support for SAP intelligent automation and AI solutions covering invoice parking, cash application, sales order automation, credit memo processing, and customer master processes.
- Work with Finance, Accounts Payable, Accounts Receivable, Sales, Customer Service, Procurement, DTC, and master-data teams to understand requirements, issues, and expected outcomes.
- Assist with documenting business processes, rules, exception scenarios, controls, data mappings, dependencies, acceptance criteria, and functional requirements.
- Review solution impacts across SAP FICO, Order-to-Cash, Procure-to-Pay, DTC, Fashion, master data, pricing, billing, receivables, payables, logistics, interfaces, and downstream systems with guidance from senior team members.
- Collaborate with SAP ABAP, BTP, AI, workflow, integration, Fiori, and automation teams during design, testing, release, cutover, and post-release support.
- Monitor automation runs, queues, interfaces, APIs, document processing, business-rule outcomes, exception dashboards, reconciliations, and SAP posting status.
- Investigate routine automation failures involving master data, duplicate documents, variances, posting errors, authorizations, interfaces, workflows, or decision rules, and escalate complex issues when needed.
- Support incident resolution, validate fixes, communicate status, and contribute to root-cause analysis and preventive improvements.
- Execute unit, integration, regression, user-acceptance, and production-validation testing using defined requirements and test scripts.
- Maintain runbooks, support documentation, and knowledge articles, and use automation metrics and business feedback to identify improvement opportunities.
About You
- 5-8 years of SAP experience across implementation, enhancement delivery, integration, automation, or production support.
- Foundational process knowledge in one or more areas such as SAP FICO, Order-to-Cash, Procure-to-Pay, Direct-to-Consumer, customer or vendor master data, sales, billing, receivables, or payables.
- Experience supporting or testing SAP automations, workflows, interfaces, APIs, background processes, or exception-management solutions.
- Basic understanding of workflow, business rules, robotic process automation, document extraction, AI-assisted decisions, human review, and SAP transaction execution.
- Ability to review SAP document flow, master data, application logs, interface messages, workflow results, and posting errors with guidance.
- Familiarity with SAP S/4HANA and one or more related technologies such as SAP BTP, SAP Build Process Automation, SAP Integration Suite, APIs, OData, IDoc, workflow, Fiori, or ABAP.
- Awareness of business rules, validations, exception handling, reprocessing, audit trails, security, segregation of duties, SOX controls, data privacy, and responsible AI practices.
- Fashion or retail process experience, including exposure to SAP AFS or S/4HANA Fashion, is preferred but not required.
- Good analytical, communication, documentation, testing, teamwork, and problem-solving skills, with a willingness to learn in a global delivery environment.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Finance, or a related field; relevant SAP, automation, agile, or IT service-management certifications are a plus