Required Qualifications, Capabilities, and Skills
- Hands-on practical experience in system design, application development, testing, and operational stability for production systems
- Demonstrable ability to code in Java with Spring and Spring Boot, including microservices architecture and REST API development
- Experience developing, debugging, and maintaining enterprise-scale applications in a large corporate environment using one or more modern programming languages and database querying languages (MS SQL Server, Oracle, SQL)
- Overall knowledge of the Software Development Life Cycle, including requirements, design, development, testing, release, and support
- Solid understanding of agile delivery practices, including CI/CD, application resiliency, and security fundamentals
- Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud (e.g., deploying and operating services in cloud or hybrid environments)
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.