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 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s): Python, ReactJS, etc
Advanced in one or more frameworks language(s): Django, FastAPI, etc
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
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of creating microservices, integrating with other systems via API, applying event-driven approach to solutions
Practical cloud native experience
Strong track record of partnering with both internal teams and external stakeholders to deliver outcomes
Demonstrates strong ownership and accountability; delivers results efficiently while prioritizing long-term sustainability and integrity
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end and back-end technologies
Exposure to leveraging AI in day-to-day engineering and development tasks
Exposure to cloud technologies
Exposure to working with Big Data
Network Automation exposure
