Developer – SAP Concur Expense Pay

SAP Concur seeks a Developer (T2 – Level 2) to join the Expense Pay engineering team. This role is responsible for the design, development, testing, and delivery of features and enhancements for the Expense Pay platform — a mission-critical payment processing and disbursement service used by millions of users globally. Working within an agile team, you will build and maintain scalable, secure, cloud-based microservices using a modern Java and React stack, while actively leveraging AI tooling to accelerate development and improve team productivity.

Expectations and Tasks

• Design, develop, test, and deliver product features and enhancements for the Expense Pay platform, with end-to-end ownership from requirements through deployment.
• Build and maintain backend microservices using Java (Spring Boot), adhering to RESTful API design principles and microservices architecture patterns.
• Develop and maintain frontend features using React and related JavaScript/TypeScript ecosystem tools (Redux, React Query, etc.).
• Participate actively in agile ceremonies — sprint planning, standups, retrospectives, and refinement sessions.
• Write clean, maintainable, well-tested code; participate in and conduct peer code reviews.
• Troubleshoot defects, investigate root causes, and implement fixes for both pre-production and production issues.
• Collaborate with product managers, QA engineers, UX designers, and peer developers across teams.
• Contribute to technical documentation including design documents, runbooks, and API specifications.
• Support deployment and operational health of services via CI/CD pipelines and observability tooling.
• Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code, SAP Joule, AI code review tools) to improve coding velocity, code quality, and task automation.
• Actively identify opportunities to apply AI/ML capabilities within the Expense Pay product workflows, including automation, anomaly detection, and intelligent processing.
• Stay current with emerging AI tools and best practices and share learnings with the broader team to uplift collective productivity.

  Education and Qualifications / Skills and Competencies

  Required:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 3–5 years of professional software development experience at a T2 / mid-level capacity.
• Proficiency in Java (Java 11+) and the Spring Boot framework (Spring Data, Spring Security, Spring MVC).
• Hands-on experience with React (and TypeScript/JavaScript), including state management patterns (e.g., Redux).
• Strong understanding of REST API design, microservices, and distributed systems.
• Experience with relational databases (e.g., MySQL, MSSQL, PostgreSQL) and ORM frameworks.
• Familiarity with containerization and orchestration tools: Docker and Kubernetes.
• Experience working within CI/CD pipelines (e.g., Jenkins, GitHub Actions, or equivalent).
• Solid understanding of software testing practices: unit, integration, and end-to-end testing.
• Experience with version control using Git and collaborative development workflows (pull requests, branching strategies).
• Demonstrated ability to work independently on moderately complex tasks and iterate based on feedback.

• AI & Productivity (Required):

• Active user of AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, Amazon CodeWhisperer, Cursor, or equivalent) in day-to-day development workflows.
• Ability to apply prompt engineering techniques to accelerate development tasks, including code generation, refactoring, test creation, and documentation.
• Comfort using AI tools for debugging, log analysis, and root cause investigation.

• Preferred:

• Experience with cloud platforms (AWS, GCP, or Azure) and serverless or event-driven architectures.
• Familiarity with payment processing, financial services workflows, or expense management domains.
• Experience with observability and monitoring tools (e.g., DynaTrace, Splunk, Datadog, Prometheus/Grafana).
• Exposure to AWS SQS/SNS, Apache Kafka or other message-streaming technologies.
• Knowledge of secure coding practices and OWASP guidelines.
• Experience or interest in contributing to AI-powered product features (LLM integration, RAG pipelines, embedding-based search, or similar).
• Familiarity with SAP Business Technology Platform (BTP) is a plus.

What We Offer

• Opportunity to work on a globally scaled, high-impact payment product serving enterprise customers across 5M+ users.
• Flexible, hybrid work environment with strong investment in engineering excellence and innovation.

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
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AI Usage in the Recruitment Process
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