Software Engineer

Cisco is building next-generation security services that detect and respond to security events through an AI-based Agile software engineering environment. The Software Engineer will design, develop, test, deploy, and support secure, scalable incident detection and response services while collaborating with security teams and stakeholders.

Responsibilities:

• Apply AI tools in software engineering, test, and delivered solutions as needed to meet business goals, while evaluating AI-generated code for correctness, security, maintainability, and fit with the codebase
• Lead small-to-medium features from technical design through completion, including requirements analysis, design, coding, testing, deployment, and production support
• Translate internal security operations needs into secure, maintainable software designs, APIs, automations, and services that improve reliability and stakeholder outcomes
• Develop clean, tested software consistent with Cisco Design Thinking Principles, secure coding practices, privacy expectations, and team engineering standards
• Write code and unit tests with minimal guidance, enabling scale, reliability, and velocity in product releases
• Perform code reviews for others on the project, identify immediate issues, and help improve code quality, maintainability, and secure development practices
• Serve as a resource for colleagues with less experience by sharing knowledge, mentoring peers or engineering interns, and assisting through documentation, code reviews, and technical guidance
• Prototype and deliver automation, tooling, and service improvements that strengthen detection, prevention, response, and security operations capabilities
• Select and apply appropriate strategies, algorithms, data structures, and design patterns to solve complex engineering problems efficiently
• Collaborate with domain experts in Incident Command and across Cisco to enhance, improve, or modify security methods in both on-prem and cloud environments
• Maintain and improve production application environments, including monitoring, problem identification, troubleshooting, and timely resolution of reliability and availability issues
• Debug and address software issues during development and in production systems; participate in on-call work as needed, and contribute to or lead postmortems and root cause analysis
• Coordinate with team members and stakeholders on timelines, specifications, blockers, and trade-offs to support predictable, high-quality delivery

Requirements:

• • Typically 5 or more years of related software engineering experience, or equivalent experience through advanced degree, technical depth, or demonstrated impact
• • Experience writing software in one or more languages such as Python, Go, Java, or similar in a Linux or Unix-based environment
• • Demonstrated experience using AI coding generators responsibly, including the ability to evaluate and review generated code, identify problems, and show a deep understanding of the relevant codebase
• • Experience applying AI technologies to solutions that meet stakeholder, operational, or customer needs
• • Strong secure development practices, including secure coding principles, code review, privacy awareness, and understanding of feature-level threat models
• • Experience designing and implementing RESTful APIs, services, integrations, automation, or full-stack capabilities
• • Experience with CI/CD, containerized builds and deployments, and orchestration platforms such as Docker Swarm, Kubernetes, or similar technologies
• • Comfortable developing solutions that efficiently use, move, transform, and supply large amounts of data in support of security operations
• • Experience troubleshooting production services, improving reliability, participating in on-call rotations, and contributing to postmortems or root cause analysis
• • Ability to work independently, clarify ambiguous requirements, identify paths around blockers, and communicate status, risks, and trade-offs clearly
• • Demonstrated ability to collaborate with peer stakeholders within and across teams, build productive working relationships, and support delivery of high-quality engineering outcomes
• • Ability to mentor peers, support less experienced engineers, and raise team engineering quality through code reviews, documentation, and technical guidance
• • Experience in security operations, incident detection and response, detection engineering, threat analysis, or adjacent cybersecurity domains
• • Experience building cloud-native services or operational tooling in hybrid, on-prem, or cloud environments
• • Experience with observability, monitoring, alerting, and reliability practices for production services
• • Experience with data pipelines, event-driven architectures, stream processing, or large-scale security analytics
• • Familiarity with Agile software delivery, Kanban, continuous integration, continuous delivery, and modern engineering workflows