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September 16, 2026
Software Engineering Technical Leader
Senior
186,900 - 307,800 USD/yr
Durham, NC
Apply now
Quick Facts
- Role: Software Engineering Technical Leader
Description
Design and implement high-throughput, low-latency Java services for Cisco’s next-generation CPQ platform and large-scale commerce systems. Collaborate with product management and engineering teams using agile practices to deliver customer-focused solutions. Build and support distributed systems and integrate commerce platforms with enterprise applications such as billing, invoicing, tax, contracts, supply chain, and manufacturing to improve operational efficiency and scalability.
Responsibilities
- Influence AI-assisted development practices
- Contribute to platform innovation via design and code reviews
- Improve system performance, reliability, and user experience
- Drive engineering excellence for distributed, cloud-first commerce services
Benefits
- Starting salary range (U.S./Canada): $151,600.00 to $222,400.00 (excluding incentive compensation, equity, and benefits)
- Medical, dental, and vision insurance; 401(k) with Cisco matching contribution
- Paid parental leave; short- and long-term disability coverage; basic life insurance
- Paid time away including holidays and wellness/vacation/sick time rules based on exemption status
- Annual bonuses for non-sales roles; performance-based incentive pay for sales-plan roles
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or 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)
- Experience building distributed systems with availability, latency, and scalability requirements
- Experience with CI/CD and container orchestration tools: Kubernetes, Jenkins, Git, Spinnaker, Docker
- Practical experience with AI coding tools (e.g., Claude Code, Copilot, Cursor) and proficiency with MongoDB, Cassandra, Elasticsearch, Kafka, and cloud-native technologies
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