Software Engineering Technical Leader- Backend Data Engineer
Cisco · Milpitas, CA · Product and Engineering
About this role
Cisco is hiring a staff-level Backend Engineer in the software engineering function based in Milpitas, CA. The posting calls out experience with Python, Java, C, Bash. Compensation is listed at $183,800–$263,600 per year.
- Role
- Backend Engineer
- Function
- software engineering
- Level
- staff
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Milpitas, CA
- Department
- Product and Engineering
- Posted
- May 19, 2026
More roles at Cisco
Job description
from Cisco careersJob posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Meet the Team
The SaaS Engineering organization within the Cisco Networking Group is committed to revolutionizing the deployment of generative AI applications. Our mission is to improve IT visibility and deliver comprehensive analytics for the AI infrastructure stack. By using ground-breaking technologies, we are developing next-generation SaaS-based controllers designed to efficiently manage Data Centers with AI/ML solutions like Nexus Hyperfabric. https://www.cisco.com/site/us/en/products/networking/data-center-networking/nexus-hyperfabric/hyperfabric-ai/index.html
Your Impact
You will shape the Hyperfabric data strategy and execute it. You will build and maintain in-product dashboards, APIs, and 3rd party system integrations, all while handling high-volume streaming data such as device telemetry, system alerts, etc. You are committed to designing and building robust and scalable systems that are easy to understand and maintain. Your contributions will directly impact how our customers interact with Hyperfabric by giving them visibility into their data centers’ performance, health, and more.
You will innovate at the intersection of data + AI. You will define and deploy our strategy to collect and stage our telemetry data. Leveraging this, you will build the AI workloads that transform this data into meaningful insights that we surface to our customers, including error detection, troubleshooting, performance tuning suggestions, etc.