Apply 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
Add to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in: Java, Python, or C++
Full stack development experience with Spring, Hibernate, Spark, AWS cloud technologies, and Databricks
Familiarity with API and microservices frameworks, container technologies, and workflows
Familiarity with modern front-end technologies, especially ReactJS
Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Ability to learn other coding languages and technologies as needed, with enthusiasm for continuous growth in both technical aptitude and business understanding
Excellent analytical, quantitative, problem-solving, and organizational skills
Solid understanding of agile methodologies, all phases of the Software Development Life Cycle, and risk controls tools such as CI/CD, application resiliency, and security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
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
Preferred, capabilities, and skills
Proficient in coding in: Python, or C++
