Cisco AI Software & Platform Group is seeking a senior engineering leader to drive the execution of a unified management platform with an AI-first user experience across Cisco's products, integrating Cisco products and ensuring maximum value and usability for customers.
Requirements
- Demonstrated expertise with cloud-based architectures (AWS, Azure, or GCP) and data platforms (Snowflake, Databricks, Kafka, Airflow) or similar technologies.
- Hands-on technical expertise in architecture, code, quality, and operational excellence.
- Experience with SaaS, Kubernetes, Docker, Go, Python, Terraform, and AWS services (e.g., DynamoDB, Lambda, EKS).
- Knowledge of networking (Campus and branch) and security technologies (SASE, SSE, web security, branch and remote connectivity).
- Experience with LLMs and AI tools for development, testing, and CI/CD.
Responsibilities
- Champion the use of AI tools and capabilities throughout the software development lifecycle.
- Oversee end-to-end development, continuous delivery, infrastructure automation, and quality initiatives.
- Remain hands-on with architecture, solution design, and development, leveraging deep enterprise software expertise.
- Support operational excellence, ensuring cloud service SLAs are met and incidents are resolved promptly.
- Align engineering efforts with business goals to maximize customer value.
- Foster innovation through creative problem-solving and adoption of new technologies.
- Resolve cross-functional priorities and organizational challenges to achieve measurable customer outcomes.
Other
- Proven experience leading and scaling cloud-based engineering teams in fast-paced environments.
- 15+ years of experience in software engineering, data architecture, or data engineering, with a strong record of designing and delivering large-scale systems, enterprise software platform development.
- 5+ years of experience in technical leadership roles managing and scaling engineering teams.
- Demonstrated ability to hire, mentor, and develop engineering talent.
- Lead, hire, mentor, and grow a high-performing cloud engineering team in a collaborative environment.
