- 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.
- 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
- Develop python product and provide end to end support, have
hands-on-knowledge in python application development, testing and operational stability to help team deliver high-quality products and implement solution adhering to micro services Architecture
- Be instrumental in solving technical issues, developing integration elements,