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 system design concepts and 5+ years applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Hands on experience in Python, Terraform and Public cloud (Azure).
Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
Hands on experience with a public cloud provider (Azure, AWS)
Understanding of public cloud architecture patterns for identity, networking, compute and management.
Experience with Infrastructure as code using Terraform/Bicep/ARM on Azure.
Proficient in one or more programming language(s) such as Java, Python, Java Scripting and Groovy.
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
Experience in applying enterprise architecture patterns on Azure Cloud Integrations with On Prem Systems.
Preferred qualifications, capabilities, and skills
Knowledge in Identity and Access Management area
Knowledge in Banking & Finance services industry
Knowledge in automation and continuous delivery methods.
Knowledge in all aspects of the Software Development Life Cycle.
Knowledge in Cloud security Principles and applying as needed
