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.
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification in software engineering concepts and 8+ years of hands-on experience in software development.
Deep expertise in Java/JVM ecosystem, Spring Boot framework.
Proven experience building robust APIs and microservices architectures.
Strong proficiency in AWS cloud services and Kubernetes for container orchestration.
Hands-on experience with Kafka for architecting and building distributed messaging and event-driven architectures.
Advanced skills in PostgreSQL and database optimization.
Demonstrated ability in performance tuning and troubleshooting complex systems.
Experience in real-time data processing.
Proven experience with React JS and modern front-end development practices.
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 hands experience with 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
Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automation, and application resiliency with experience working in Agile teams and partnering with product and engineering stakeholders.
Preferred qualifications, capabilities, and skills
Financial Services experience
