Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Meet the Team

Our dedicated team members are building the future of Cisco’s AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as CSO, S&TO, Supply Chain, and Infrastructure Engineering. As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation.

Your Impact

You are a passionate Data engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. Your strong background in programming, data systems, and collaboration enables you to solve complex challenges with innovation and attention to detail. By building and maintaining key software tools and platforms,

you enable Cisco’s business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your work ensures high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions.

Minimum Qualifications

• 2+ years of hands-on experience with Snowflake, including performance tuning and architectural design.

• Strong command of SQL and PL/SQL, with experience writing complex queries, scripts, and stored procedures.

• Proficiency in data modelling techniques (e.g., star and snowflake schemas), and familiarity with data lake and data warehouse architectures.

• Solid hands-on experience with Python for data processing or automation tasks.

• Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads.

• Proficiency with CI/CD tools like GitHub, Jenkins, Spinnaker, etc.

• Experience working in Agile engineering environments.

• Understanding of end-to-end application lifecycle, from development to production support.

Preferred Qualifications

• Hands-on experience with AI/ML, including RAG concepts and prompt engineering for AI‑enabled applications.

• Experience working with cloud platforms such as AWS, Azure, or GCP.

• Familiarity with any UI frameworks (React, Angular, Vue, or similar) and BI tools (Power BI or Tableau) for data visualization or operational dashboards.

• Hands-on experience designing and consuming RESTful APIs, including request/response handling and error management.

• Experience with FastAPI or similar Python frameworks.

Why Cisco? 

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.