DevOps & Microservices: Drive the scaling and operational strategy of our highly available microservice architecture, ensuring long-term system reliability and efficient deployment pipelines.
Adaptable & Problem-Solver: Tackle complex, systemic, and varied technical challenges daily-demonstrating data-driven decision-making, clear handling of architectural trade-offs, and an agility to adapt to shifting technical landscapes.
Ownership & Quality: Take full responsibility for leading critical, multi-faceted initiatives, driving everything from initial system design and automated testing strategies to the resolution of complex, high-priority production issues.
Support & Growth: Actively mentor and grow the capabilities of mid-level and junior engineers within a supportive team environment, while collaborating with Principal-level peers to advance your own technical leadership trajectory.
Minimum Qualifications
Core Software Development Experience: 5+ years of professional experience in software development using Java.
System Architecture & Design Leadership: Documented experience leading the high-level system design and architecture of distributed, multi-service ecosystems, including defining cross-team API standards.
DevOps & CI/CD Strategy: Proven experience designing, configuring, or optimizing end-to-end CI/CD pipelines, container orchestration (e.g., Kubernetes), or infrastructure-as-code strategies for highly available systems.
Preferred Qualifications
Academic Qualification: Bachelor's degree or higher in an analytical subject (e.g. Computer Science, Electronic/Software Engineering).
Java & Spring Architecture: Deep technical expertise in advanced Java concepts, Spring Boot ecosystem optimizations, and microservices patterns (e.g., event sourcing, CQRS, WebSockets).
Advanced Testing & Quality Assurance: Hands-on experience establishing automated testing strategies across teams, including contract testing, performance/load testing, and chaos engineering.
Engineering Mentorship: Demonstrated experience peer-reviewing complex code architectures, onboarding new team members, and formally or informally mentoring mid-level and junior engineers.
AI-First Engineering Leadership: Practical experience establishing team-wide best practices for using LLM-based engineering tools (e.g., GitHub Copilot) for scaffolding, safe refactoring, and test generation.
Strategic Trade-offs: Ability to clearly communicate and evaluate complex technical trade-offs, manage technical debt, and align engineering decisions with broader business product goals.
We provide training and mentoring for all new team members to fill in any gaps.
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.