Software Engineer, IQ Platform Infrastructure

The application window is expected to close on: 10/01/2026

This is a Hybrid position located in San Jose, CA
- Requiring 2-3 days per week in office.

The CX Platform is the high-velocity engineering engine powering Cisco’s entire customer experience ecosystem. We build full-stack applications, robust shared services, and cutting-edge AI/ML integrations that empower our customer-facing teams to ship innovation faster and with absolute confidence. As we look toward our FY27 vision, this team is at the epicenter of Cisco’s transformation, ensuring our architecture is not just reactive, but anticipatory.

You’ll be joining a group of builders who own the product lifecycle from end to end—from front-end user experiences to complex back-end services. If you thrive in an environment where technical decisions are judged by their measurable impact on customer outcomes, you’ll find your home here.

In this role, you’ll work on the platform framework and common services other Cisco IQ teams build against, plus the on-premises appliance platform running in customer data centers — one shared foundation supporting two very different delivery models.

You will help design and build that consolidation — implementing scalable, event-driven architectures and data pipelines with Kafka. You’ll be in design reviews, architecture debates, and postmortems alongside principal engineers and technical leads who’ve earned their opinions, and you should be ready to read the code and hold your own in the discussion. You’ll also be encouraged to run research spikes on new technologies or alternative designs, and to mentor more junior engineers along the way.

Day to day you’ll work closely with Product Management, SRE, Experience Reliability Engineering, and the technical leads driving on-premises deployment and framework work.

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or an equivalent technical degree (e.g., Mathematics, Physics)

• 5 years of related professional engineering experience (with a Bachelor’s); 3 years (with a Master’s); 0 year (with a PhD).

• Experience programming in Go, Java, or C/C++

• Experience with debugging and unit testing

• Experience designing, implementing, and maintaining event-driven architectures

• Experience with Kafka for data pipelines

• Experience with SaaS enterprise software or cloud-based infrastructure

• Master’s degree in computer science or related field, with 3+ years of related experience

• Experience designing and implementing software systems with a high emphasis on scalability and availability

• Experience with data structures and algorithms

• Experience working as part of a highly distributed team across multiple time zones, and comfortable with agile methodologies (Scrum, etc.)

• Experience with service-oriented architecture

• Experience with MongoDB or other No
  
  SQL databases

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 locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset,…