Senior Platform Engineer - SAP Customer Experience

SAP SE; São Paulo; In loco; BRL 180.000 - 300.000; Tempo pieno

Descrizione del lavoro

SAP CX Order Management Services in Brazil seeks a Senior Software Developer to join a cloud-native team building high-quality microservices powering SAP Commerce Cloud and S/4HANA. You'll leverage AI-assisted tools across the SDLC, design robust REST APIs, and collaborate with distributed teams to deliver scalable solutions.

You will participate in full-sprint cycles, champion testing and automation, and contribute to CI/CD pipelines with Kubernetes and ArgoCD while maintaining high standards

Competenze

• Bachelor's degree in Computer Science, Information Technology, or a related field — or equivalent functional experience
• Highly proficient with software development
• Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar in a professional setting. Deep, applicable fluency with AI developer tools across the full SDLC (design, coding, testing, observability) and awareness of the limitations and costs
• Expert level in Java; Spring Boot preferred and proven experience with REST API design and asynchronous messaging (Kafka)
• Knowledge of microservices architecture and cloud-native patterns
• Strong knowledge of software engineering fundamentals, microservices architecture, cloud-native patterns, and clean code
• Experience with CI/CD tooling (Kubernetes, Jenkins, GitHub Actions, ArgoCD, or similar)
• Working knowledge of relational and/or NoSQL databases
• Comfortable working in an agile/scrum environment
• Drive clarity instead of waiting for it
• Robust communication skills; able to work across distributed, cross-functional teams and present to stakeholders

Mansioni

• Design, develop, and test complex, scalable and performant cloud-native microservices for SAP's Order Management platform
• Participate in full-sprint cycles: refinement, development, code review, and deployment
• Write unit, integration, and contract tests to ensure production-grade quality
• Own technical quality: establish coding standards, lead code reviews, and champion test automation practices
• Contribute to CI/CD pipelines and apply DevOps practices to automate build, test, deployment, and operational processes
• Collaborate with architects, developers, product managers and other engineering teams to translate business requirements into technical solutions
• Monitor application health, performance, and reliability and address issues; perform root cause analysis
• Support technical documentation and knowledge sharing within the team
• Use AI-assisted development tools daily to accelerate development while maintaining high standards for architecture, security, performance, reliability, and maintainability

Conoscenze

Java

Spring Boot

REST APIs

Kafka

Microservices

Cloud-native

CI/CD

Kubernetes

NoSQL

Agile/Scrum

AI-assisted tools

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Jenkins

GitHub Actions

ArgoCD

Descrizione del lavoro

Job Description

We are looking for a dynamic and motivated Senior Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering team. The SAP Customer Experience – Order Management Services (SAP CX OMS) unit is focusing on building and maintaining high-quality cloud-native microservices that power order lifecycle management, integrating deeply with SAP Commerce Cloud and SAP S/4HANA. You\'ll work in a collaborative, agile team where quality engineering and customer impact go hand in hand.

What You\'ll Bring

• Bachelor\'s degree in Computer Science, Information Technology, or a related field — or equivalent functional experience
• Highly proficient with software development
• Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar in a professional setting. Deep, applicable fluency with AI developer tools across the full SDLC (design, coding, testing, observability) and awareness of the limitations and costs
• Expert level in Java; experience with Spring Boot preferred and proven experience with REST API design and asynchronous messaging (Kafka, or similar)
• Knowledge of microservices architecture and cloud-native patterns
• Strong knowledge of software engineering fundamentals, microservices architecture, cloud-native patterns, and clean code
• Experience with CI/CD tooling (Kubernetes, Jenkins, GitHub Actions, ArgoCD, or similar)
• Working knowledge of relational and/or NoSQL databases
• Comfortable working in an agile/scrum environment
• Drive clarity instead of waiting for it
• Robust communication skills; able to work across distributed, cross-functional teams and present to stakeholders

Nice to Have

• Knowledge of OMS domain concepts (order capture, fulfillment, ATP, returns)
• Knowledge with cloud platforms — SAP BTP and Azure
• Contributions to open-source projects

What You\'ll Build

You will use AI-powered development tools to accelerate software delivery. From comprehending requirements and exploring designs to generating code, creating tests, debugging, documenting, and improving existing services.

• Design, develop, and test complex, scalable and performant cloud-native microservices for SAP\'s Order Management platform
• Participate in full-sprint cycles: refinement, development, code review, and deployment
• Write unit, integration, and contract tests to ensure production-grade quality
• Own technical quality: establish coding standards, lead code reviews, and champion test automation practices
• Contribute to CI/CD pipelines and apply DevOps practices to automate build, test, deployment, and operational processes (SAP BTP, Kubernetes, GitHub Actions)
• Collaborate with architects, developers, product managers and other engineering teams to translate business requirements into technical solutions
• Monitor application health, performance, and reliability and proactively address issues. Troubleshoot complex production issues across application, integration, and infrastructure layers; drive root cause analysis and permanent fixes
• Support technical documentation and knowledge sharing within the team
• Use AI-assisted development tools daily to accelerate development while maintaining high standards for architecture, security, performance, reliability, and maintainability. Review, validate, test, and improve AI-generated code rather than blindly accepting it
• Stay current with emerging AI technologies and actively explore how new tools can improve engineering productivity. Define and apply team-level standards for AI-assisted development. Bring recommendations to the team with a clear cost/benefit view

Where you belong

You\'ll join the CX Order Management Services team, a cloud-native engineering group building the backbone of SAP\'s commerce fulfillment ecosystem. We ship features that directly impact how global enterprise customers manage orders at scale. In our team, we value technical craftsmanship, open feedback, and have a people-first culture. Our environment is safe to let people be themselves and leverage their strengths.This high-performance and dynamic environment is assured to provide rich opportunities for learning and growing.

You will join a new team focused on building and maintaining the core of our OMS product from common backend services to CI/CD, you will get to collaborate with all the teams in the group and a wide variety of tasks.

• You enjoy being the go-to technical resource for the team — unblocking colleagues, pairing on hard problems, and accelerating onboarding of new members
• You take ownership of what you build, including its quality and operation in production
• You are curious, continuously learning, and comfortable working with new technologies
• You believe automation should eliminate repetitive work and improve quality
• You collaborate openly and enjoy solving complex problems with others
• You are realistic: you can balance technical excellence with customer and business priorities
• You care about delivering software that is reliable, secure, scalable, and easy to maintain

Skills used in this role include

cloud architecture, scalability, test automation, AI-assisted development, agentic orchestration, AI governance operations, continuous integration/continuous delivery (CI/CD), observability, context engineering, AI output quality assurance, agentic AI day-to-day practice, AI-Assisted Automation and Prototyping, AI adoption capability.

Equal Employment Opportunity Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

About SAP

With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people\'s lives.

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion

SAP\'s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: [e-mail].

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.