Software Engineer Lead–Cloud Security & AI

The application window is expected to close on: 08/21/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid position requiring two days per week onsite at Cisco’s RTP, NC office, or for those based in San Jose, CA, occasional presence at the San Jose office as needed. Meet the Team Cisco's Cloud Security Engineering team within the Security & Trust Organization designs, builds, and operates cloud security solutions to secure Cisco's public cloud estate — AWS, Azure, GCP, and OCI. We partner with security engineering, IT, and cloud operations teams as well as internal business units to enforce secure cloud practices and scale innovative solutions. We're actively building the next generation of cloud security: AI-enabled, agentic remediation workflows that turn security outcomes into automated, developer-friendly action.

Architect and implement AI-driven automation frameworks that detect and remediate cloud security misconfigurations at scale — delivering fixes directly into cloud environments or developer workflows via automated PRs Lead end-to-end technical execution of a focused workstream, contributing hands-on while guiding 2–3 engineers to deliver against key milestones Define and drive the engineering roadmap for your workstream — covering SDLC best practices, CI/CD, observability, business metrics, and AI-assisted development Build reusable, well-documented internal tooling and services that scale across cloud platforms and engineering teams Scope work accurately, communicate delivery trade-offs, and align multi-functional partners on direction and outcomes Mentor peers and set the standard for software quality through code reviews, design sessions, and knowledge sharing Minimum Qualifications Bachelor’s degree with 8+ years of engineering experience Experience in Python development, building backend services and APIs, including data modeling and relational/NoSQL data stores Experience building or integrating AI/LLM-based or agentic workflows into production systems using managed platforms such as AWS Bedrock AgentCore, Azure AI Foundry, Google Vertex AI, or equivalent Experience with at least one major cloud platforms (AWS, GCP, Azure) including SDKs, APIs, and cloud-native service architectures Experience with CI/CD pipelines to automate builds, tests, and deployments across environments Experience with cloud native event-driven architectures and container technologies (Docker, Kubernetes, ECS, or equivalent) Preferred Qualifications Strong communication skills with the ability to present to both technical and business audiences with clarity and brevity Experience using orchestration frameworks such as LangGraph, Strands Agents, Semantic Kernel, OpenAI Agents SDK, or equivalent Experience delivering internal services or tooling consumed broadly by engineering teams within a large organization Cloud security experience - familiarity with any of the following: cloud security controls, policy-as-code, ASPM or CSPM tools Infrastructure as Code experience (Terraform or equivalent) Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.  We are Cisco, and our power