Software Engineer - Intersight Software and Product Security

Cisco Intersight is a cloud-native operations platform that provides unified management, automation, visibility, and lifecycle operations for Infrastructure across data centre, cloud, and edge environments. Its SaaS, on-premises, and mobile offerings depend on secure, reliable Automation that enables engineering teams to build, test, release, and operate software at scale.

Description As a Grade 8 Software Engineer on the Intersight team, you will design, develop, and deliver robust software components, cloud-scale services, and product security solutions using Python, Go, and Java. You will collaborate with senior engineers and cross-functional teams to build modern cloud management and infrastructure solutions, using AI-driven technologies to enhance software productivity, code quality, and automated security workflows across our platform and product lifecycle.

About Cisco

Meet the Team.

Proven ability to collaborate across distributed engineering and security teams to resolve complex security and software integration issues. #WeAreCisco ( This is the Standard and cannot be changed ) #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

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• 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.
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• 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.
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Responsibilities

• Design, develop, test, and maintain scalable application services, APIs, and backend components using Python, Go, and Java.
• Design and develop security features, systems, and tools for Intersight products, integrating new security updates into existing software and ensuring security is maintained throughout the product lifecycle.
• Leverage AI-assisted tools, coding assistants, and automated workflows to accelerate software development, improve code quality, streamline code reviews, and enhance technical documentation.
• Collaborate with product management, architecture, and engineering teams to translate technical requirements into high-quality software solutions.
• Perform security assessments—including vulnerability and risk assessments, threat analysis, and security code reviews—incorporating automated and AI-driven analysis to identify and resolve potential design and implementation vulnerabilities.
• Build a standardised set of security product requirements and produce metrics to report performance against those requirements.
• Investigate, diagnose, and resolve software defects, tool failures, and system performance bottlenecks in development and production environments.
• Detect and mitigate security risks, respond to product security incidents, and work collaboratively to resolve integration and testing issues.

Requirements

• Bachelor’s degree with 5+ years of related software engineering or product security experience, OR Master’s degree with 3+ years of related experience
• Proficiency in core programming languages such as Python, Go, and Java.
• Strong understanding of software development lifecycle (SDLC), data structures, algorithms, and secure coding principles.
• Foundational knowledge of threat modelling, vulnerability mitigation, and application security assessments.
• Excellent communication, teamwork, and problem-solving skills in a fast-paced, agile development environment.

Preferred

• Qualifications Experience in developing SaaS or cloud-infrastructure management solutions with integrated security frameworks.
• Familiarity with containerisation technologies (Docker, Kubernetes) and secure software development lifecycle (SSDLC) practices.
• Experience using AI-assisted development tools, machine learning models for threat detection, or AI-driven security analytics to enhance software productivity and automated vulnerability identification.
• Experience participating in threat modelling, security architecture reviews, and vulnerability management.

Disclaimer

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