Optimise — champion effective use of AI tools across the team to improve productivity, accelerate delivery, and focus effort on the most complex engineering challenges.
Lead by example — bring curiosity, accountability, and positivity, helping foster a culture of ownership, learning, and collaboration.
Minimum Qualifications
Education: Bachelor’s degree (or higher) in an analytical subject such as Computer Science, Electronic Engineering, or Software Engineering.
Experience: 5+ years of professional software development experience, delivering high-quality, production-grade software in complex environments.
Technical Leadership: Demonstrated experience leading architecture and design discussions, influencing technical direction, and driving alignment across teams.
Engineering Excellence: Deep programming and system design expertise, with the ability to evaluate trade-offs and make sound technical decisions.
Problem Solving: Proven ability to lead a structured, scientific, and creative approach to solving complex technical and product challenges.
Collaboration & Communication: Strong ability to communicate technical concepts clearly to engineers, product partners, and stakeholders at varying levels.
Quality Focus: A strong commitment to quality, including test strategy definition, code reviews, operational readiness, and continuous improvement.
Preferred Qualifications
Full stack development, in some or all of the following areas
Languages: TypeScript/JavaScript, Java
UI Frameworks: React or Angular
Back-end: Java (Spring), RESTful APIs, WebSockets, distributed systems, and API design
Database: Postgres/AWS Aurora
Proven experience scaling systems to handle growing traffic, data volume, and user load, including horizontal scaling, caching, and load balancing.
Significant experience contributing to or owning system architecture for large-scale, customer-facing applications.
Strong experience with unit, integration, and end-to-end testing, including contract testing and test automation in CI/CD pipelines.
Practical experience or strong interest in AI-assisted development, including hands-on use of LLM-based tools for design exploration, scaffolding, refactoring, test generation, debugging, and improving developer productivity — with strong ownership of validated, production-ready solutions.
Deep familiarity with Git, DevOps practices, continuous integration, and continuous delivery.
Experience optimising applications across Windows, macOS, Linux, and Web platforms and ecosystems.
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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 starts with you.
