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
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
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
Advanced coding in Python and Java with strong grasp of design patterns, Spring/Spring Boot, and Kubernetes (k8s).
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
Hands-on experience building and testing Spring Boot services and React applications, including automated unit/integration/E2E and performance testing (e.g., Cypress, JMeter, or similar tools).
Experience leading effective use of approved AI-assisted dev tools, setting expectations for validating AI outputs (correctness, performance, security).
Strong understanding of responsible AI use (data sensitivity, secure handling, resiliency/security expectations) and coaching engineers on compliant adoption.
Cloud-native experience (e.g., AWS) and proficiency with automation, CI/CD, SDLC, agile, resiliency, and security practices.
Preferred qualifications, capabilities, and skills
In-depth knowledge of the financial services industry and its IT systems
