Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect Leads evaluation sessions with external vendors, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads evaluation sessions with external vendors, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
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
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficiency in any of the front end technology like React/ReactJS, Redux, Angular/AngularJS, ExtJS, JQuery, NodeJS
Proficiency in technologies like Java, Spring Boot, RDS Postgres or any Relational Database.
Lead and mentor junior engineers, providing technical guidance and code reviews to improve delivery quality and team velocity.
Hands-on experience with infrastructure provisioning using Terraform, developing and maintaining Infrastructure-as-Code modules for repeatable, scalable, and auditable deployments.
Practical cloud native experience in AWS
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
Proficient in React and NodeJS.
Experience in AWS with hands-on experience provisioning infrastructure using Terraform.
Technology coach, and leader to help team solve technology problems.
