Software Engineer, Backend – Webex Signaling

• Build and contribute to technical designs and implementation in a development team that practices continuous integration and continuous delivery.
• Develop cloud-native microservices deployed on Kubernetes and similar platforms.
• Make Dev Ops a primary concern by ensuring services are reliable, scalable, secure, manageable, and supportable.
• Enhance Webex telemetry systems to enable analytics, observability, and continuous improvement.
• Use Cisco-approved AI-assisted software engineering tools and agents, such as Codex, Claude, or similar technologies, throughout the software development lifecycle—from requirements analysis and design through implementation, testing, code review, documentation, deployment, monitoring, and incident response.
• Apply human judgment when using AI-generated content by validating code, designs, tests, documentation, and recommendations for correctness, security, privacy, performance, maintainability, and licensing or intellectual-property considerations.
• Serve as a gatekeeper for high-quality code, designs, architecture, and practical approaches to scale.
• Create alignment across product teams, architectural decisions, and implementation.
• Contribute to a culture of technical excellence, collaboration, and continuous learning.

You are a backend software engineer who enjoys solving complex distributed-systems problems and delivering reliable services  combine strong software engineering fundamentals with curiosity about emerging AI-assisted development practices. You take ownership of your work, communicate clearly, and collaborate effectively with globally distributed teams.

• Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• 3+ years of professional software development experience with Java.
• 2+ years of experience with Spring and Spring Boot.
• 2+ years of backend software engineering experience.
• 2+ years experience participating in the software development lifecycle, including design, implementation, testing, deployment, and production support.
• 1+ years experience in leveraging AI tools to increase productivity and efficiency.

• 2+ years experience building large-scale distributed applications using technologies such as Cassandra, Kafka, and Redis.
• 2+ years experience with REST APIs, API design patterns, JSON, containerized systems, and scalable microservices.
• 2+ years experience designing or operating telemetry, monitoring, and analytics systems.
• 2+ years experience with Kubernetes, cloud platforms, CI/CD pipelines, and production observability.
• 2+ years experience with SQL and No
  
  SQL databases at scale.

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.

The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada…