Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Miami, FL, United States
Posted
Yesterday
MicroservicesSpringSpring BootService MeshAgileAzureGraphQLJavaKubernetesLLMRESTgRPC
Job Description
Qualifications And Education
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field required.
- 10-15 years of overall software engineering experience, with at least 6+ years on SAP Commerce / Hybris.5+ years of demonstrated business knowledge in the e-commerce / digital commerce domain.
- 10+ years of hands-on experience designing and delivering microservices on the Spring stack.10+ years in a leadership capacity managing engineering teams of 15+ members.
- Proven track record of delivering large-scale SAP Commerce implementations with microservices integrations.
- Hands-on background in Java 17/21, Spring Boot 3.x, Spring Framework 6.x, REST/gRPC APIs, and SAP Commerce extension development.
- Experience with GraphQL and Domain-Driven Design (DDD).
- Experience with SAP Commerce Cloud on Microsoft Azure, build manifests, and cloud operations.
- Experience running production microservices on Kubernetes with mature CI/CD, GitOps, and observability practices.
- Experience with Agile delivery models and modern DevOps tooling.
Technical/Functional Skills
- Deep expertise in SAP Commerce architecture and integration patterns.
- Proficiency with relational databases and search/indexing using Solr.
- Strong hands-on experience designing and building microservices using the latest Spring ecosystem.
- Expertise in Spring Cloud for service discovery, routing, and fault tolerance.
- Proven ability to architect domain-driven, loosely coupled microservices.
- Experience with reactive programming and event-driven architectures.
- Hands-on with containerization, orchestration, and service mesh concepts.
- Strong grounding in API security and zero-trust principles.
- Experience integrating SAP Commerce with custom Spring Boot microservices.
- Working knowledge of NoSQL stores
- Practical, daily use of AI coding assistants and understanding of LLM fundamentals.
- Ability to evaluate and integrate GenAI use cases into commerce.
- Strong judgment on responsible AI use.
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