Collaborate across product, design, and engineering partners to translate business needs into well-architected technical solutions
Improve development workflows by identifying and implementing enhancements to tooling, processes, and build pipelines (for example, Jenkins)
Ensure solutions align with architecture standards and follow risk management and security expectations
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
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.
Required qualifications, capabilities and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
10+ years of experience delivering technology solutions, with 8+ years of web development experience
Advanced proficiency in React, JavaScript, and TypeScript for building production web applications
8+ years of experience with HTML5 and CSS, including strong fundamentals in modern web standards
Demonstrated experience with testing frameworks and approaches for UI applications (e.g., Jest, React Testing Library, Cypress, Selenium) across unit through end-to-end coverage
Strong experience integrating with RESTful web services and building scalable client-side integrations
Strong understanding of software design patterns and paradigms, including object-oriented programming and functional programming concepts
5+ years of experience with build pipelines and automation tooling (e.g., Jenkins or similar)
Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements.
Preferred qualifications, capabilities and skills
Experience customizing CSS frameworks (e.g., Bootstrap) and using CSS preprocessors (e.g., Sass or Less)
Experience with GraphQL services and front-end integration patterns
Demonstrated use of Test-Driven Development (TDD) and/or Behavior-Driven Development (BDD) practices
Experience with containerization and cloud-related technologies (e.g., Docker, Kubernetes, Amazon Web Services)
Experience implementing Continuous Integration and/or Continuous Delivery practices for web platforms
