The role involves building and maintaining automated testing frameworks for REST APIs, Kafka workflows, and Angular-based user interfaces. You will also integrate these tests into CI/CD pipelines and coordinate System Integration Testing and User Acceptance Testing.
Design, develop, and maintain scalable backend applications using Java 21 and Spring Boot while integrating REST and SOAP APIs. Implement event-driven architectures with Apache Kafka and ensure system reliability through automated integration testing.
Build and maintain comprehensive API, integration, and E2E test coverage for Java/Spring routers and database workflows. Implement LLM evaluation disciplines and CI quality gates to ensure model reliability and prevent regressions.
Design, develop, and maintain scalable backend services and microservice-based applications using Kotlin and Spring Boot. Collaborate with cross-functional teams to implement integration patterns, manage cloud infrastructure, and contribute to architectural decisions.
The role involves collecting and consolidating business requirements for controlling reporting and process mining while facilitating communication between business teams and product owners. You will also be responsible for documenting data entities, tracking impediments, and ensuring consistent implementation of business priorities.
Facilitate agile ceremonies and support the team in continuously improving their delivery of value by removing impediments. Collaborate with the Product Owner and other stakeholders to ensure a healthy product backlog and foster a culture of self-organization.
The AI Engineer will collaborate with stakeholders to translate business needs into production-ready AI/ML solutions and manage data infrastructure. They are responsible for building scalable APIs, monitoring model performance, and integrating advanced techniques like Generative AI into business applications.
