Overview
Senior technical leader role on Cisco's cloud platform engineering team, building tools and platforms that let engineers procure, manage and optimize cloud infrastructure at scale across hybrid environments, with a focus on AI-first platform transformation.
What you'll do
- Lead development of complex software capabilities that improve cloud platform reliability, scalability, security, and operational efficiency in a DevOps model.
- Define and implement AI-enabled platform patterns that improve user journeys and operational outcomes across services.
- Lead AI-enabled capabilities, including assistant or agent-driven workflows, intent-based interactions, and ML-enabled operational intelligence.
- Architect and guide implementation of cloud-native microservices and APIs in Kubernetes-based environments.
- Drive cross-organizational technical planning, architecture alignment, and delivery execution.
- Apply LLM/ML frameworks (for example LangChain, LangGraph, PyTorch, or TensorFlow) to enterprise-scale production use cases.
- Lead improvements in observability, resiliency engineering, and automation strategy.
- Establish high standards for CI/CD, code quality, release reliability, and secure engineering practices.
- Lead production-readiness, incident learning, and long-term reliability programs.
- Mentor and develop engineers, and provide technical leadership across multiple teams.
What you'll need
- Bachelor's + 12 years of related experience, or Master's + 8 years of related experience, or PhD + 5 years of related experience.
- 10+ years of software development experience with Python and/or Go in enterprise cloud environments.
- Deep experience in cloud-native architecture, APIs, microservices, and platform automation.
- Advanced experience with Kubernetes, containers, CI/CD, and DevOps/SRE-aligned operating models.
- Proven experience delivering AI/ML-enabled capabilities in production and scaling adoption across organizations in an enterprise environment.
- Strong experience with SQL and NoSQL data platforms and distributed systems concerns.
- Demonstrated technical leadership, communication, and cross-organizational influence, including mentoring senior engineers.
Nice to have
- Experience defining AI strategy and implementation standards for platform engineering organizations.
- Experience with hybrid cloud platforms and enterprise-scale infrastructure services.
- Deep expertise in observability, reliability engineering, and operational excellence practices.
- Experience with Infrastructure as Code, policy governance, and secure software supply chains.
- Strong track record of mentorship, talent development, and technical community leadership.
Read the full description and apply on the company’s own careers page.