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# Software Engineering Technical Leader

- **Company:** Cisco Systems, Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $151,600.0 - $222,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Cloud Computing, Continuous Integration, Data Visualization, Cursor, Programming Tools, Web Development, Distributed Systems, Elasticsearch, Design of User Interfaces, Human-Computer Interaction, Java Web Services, Machine Learning, MongoDB, Microsoft Copilot, Search Technologies, Software Engineering, Spinnaker, Systems Integration, Prompt Libraries, Retrieval-Augmented Generation, Claude Code, Spring-boot, AI Coding Agents, Git, Containerization, Kubernetes, Information Technology, Low Latency, Cassandra, Apache Kafka, Cisco, Docker, Jenkins
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineering-technical-leader-san-jose-ca--95a86f42-2987-4494-a609-0e98053ac392

## About the Role

Software Engineering, Technical Leadership, Cisco Network Systems, Cloud Computing, Business Operations, Software Engineering, Artificial Intelligence (AI), Cross-Functional, User Interface/Experience (UI/UX), Market Entry Strategy, * Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

 * 10+ years of software development experience building web applications and integrations.
 * Experience designing and implementing high-throughput, low-latency Java services using Java 17+ and Spring Boot or equivalent frameworks.
 * Experience building distributed systems with availability, latency, and scalability requirements.
 * Experience with CI/CD and container orchestration tools such as Kubernetes, Jenkins, Git, Spinnaker, and Docker.
 * Practical experience with AI coding tools such as Claude Code, Copilot, Cursor, or similar agentic development tools, along with proficiency in MongoDB, Cassandra, Elasticsearch, Kafka, and cloud-native technologies.

Preferred Qualifications

 * Experience developing reporting interfaces, data feeds, or data visualizations for business or partner users.
 * Knowledge of analytics and AI/ML technologies, including AI-powered product capabilities such as RAG pipelines and semantic search.
 * Experience creating internal AI development accelerators such as prompt libraries, custom agents, or evaluation frameworks.
 * Ability to thrive in a fast-paced agile environment with a passion for innovation, application development, and improving user experiences.