This role focuses on configuring and supporting packaged or SaaS applications to align with business objectives. Responsibilities include managing application features, overseeing release cycles, and ensuring system stability. The engineer will leverage various tools, APIs, and low-code platforms to develop solutions that meet organizational needs while maintaining optimal performance and compatibility.

Collaboration is key, involving close work with cross-functional teams to resolve operational challenges and enhance application functionality.

- Serve as an independent subject matter expert, actively contributing to team discussions and problem-solving. - Gather requirements from stakeholders and translate them into effective application configurations. - Monitor application performance to identify and implement improvements for enhanced user experience. - Document all configuration changes meticulously to facilitate knowledge sharing and continuity. - Provide guidance and mentorship to junior team members, promoting best practices.

- Proven expertise in Large Language Models (LLMs) is essential. - Experience with Generative AI and Kubernetes is highly desirable. - Strong understanding of application integration techniques and API management. - Proficiency in working with low-code platforms for application customization and extension. - Demonstrated ability to troubleshoot and resolve complex application issues to ensure system reliability. - Familiarity with release management processes and version control systems is expected.