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.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience
Hands-on experience delivering system design, application development, testing, and operational stability
Advanced proficiency in one or more front-end frameworks, including React/Angular
Advanced proficiency in one or more backend programming languages, including Python or Java
Proficiency in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
Practical cloud-native development experience
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
Hands-on experience building and operating data pipelines (e.g., ETL/ELT patterns, orchestration/scheduling, monitoring, and data quality checks) in a production environment
Preferred qualifications, capabilities, and skills
Experience leading engineering teams within a large, complex organization
Familiarity with modern cloud technologies and deployment practices
Experience mentoring and coaching engineers at varying levels
Knowledge of industry-wide technology trends and best practices
Experience with financial management platforms or related domains
