Director, Software Engineer

Responsibilities

• Provides leadership, mentoring, guidance, and vision to groups of engineers engaged in building tools and services to achieve secure code and continuous flow of artifacts
• Support growth for people directly reporting by setting up clear expectations and goals; evaluating and managing KPIs and accountability
• Exhibit a growth mindset by adoption industry best practices and technology trends around information security practices in pursuit of continuous delivery
• Collaborate with cross-functional teams to identify opportunities for leveraging AI to drive business solutions.
• Oversee the design, development, and maintenance of Machine Learning models and solutions.
• Translating real-world business challenges into measurable machine learning metrics
• Explain complex algorithmic decisions and model predictions to non-technical stakeholders
• Maintain knowledge of current and emerging technologies or applications in areas of AI and Machine Learning
• Measure the effectiveness of AI initiatives and adjust strategies as needed
• Champion the use of AI across the engineering lifecycle, including AI assisted coding, automated testing, code generation, and productivity enhancing development workflows.
• Foster a culture of innovation, experimentation, and continuous improvement, encouraging teams to explore new technologies and evolve engineering standards.
• Understand, support, and enhance Agile practices around code integration, system thinking and scaled delivery
• Support multiple cross-functional agile teams in setting up test environments, build, deployment and troubleshooting. Collaborate with Tech leads in removing impediments hindering continuous delivery
• Comfortable to look under the hood and help the team troubleshoot issues around code, tools and workflows
• Work as the integration point of contact for internal and external infrastructure/ support teams by translating technical change requests to executable steps
• Keep track of changes requested by multiple development and testing teams for parallel code deployments
• Review, prioritize and schedule change requests in various environments starting from integration, member test and production