Description
You will join the core Webex Signaling team, which powers calling, meetings, screen sharing, whiteboarding, transcription, and many other Webex experiences.
As a Software Engineer on the Webex Signaling team, you will:
- 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 DevOps 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.
- 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.
Minimum Qualifications
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
- Production software development experience with Java, Spring and Spring Boot.
- Experience participating in the software development lifecycle, including design, implementation, testing, deployment, and production support.
- Experience building large-scale distributed applications using technologies such as Cassandra, Kafka, and Redis.
Preferred Qualifications
- Experience with REST APIs, API design patterns, JSON, containerized systems, and scalable microservices.
- Experience designing or operating telemetry, monitoring, and analytics systems.
- Experience with Kubernetes, cloud platforms, CI/CD pipelines, and production observability.
- Experience with SQL and NoSQL databases at scale.
The starting salary range posted for this position is $138,100.00 to $198,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations.