Senior Backend Architect – AI Studio Platform (Hybrid, SJ)

Cisco Systems, Inc; Milpitas (CA); Hybrid; USD 187,000 - 268,000; Full time

Job summary

Cisco Systems, Inc is seeking a Technical Lead to drive architectural strategy for the Studio platform, bridging AI research with production-grade software. You will lead scalable backend technologies and guide cross-functional teams, delivering robust, distributed systems for enterprise-scale AI applications.

You will collaborate with product and research to translate AI strategies into production-ready systems, mentor engineers, and influence senior leadership with clear technical direction

Qualifications

• 8+ years of professional programming experience using Python and/or Go.
• Experience building and scaling backend platforms in a production environment.
• Experience deploying and managing services on major cloud platforms (AWS, Azure, or GCP).
• Prior experience with containerization technologies (Docker, Kubernetes) and microservices architectures.

Responsibilities

• Lead the architectural design and development of scalable backend platform technologies.
• Spearhead multi-functional engagements to architect, build, validate, and deploy AI/ML infrastructures.
• Drive resolution of highly complex technical challenges impacting the business direction.
• Collaborate with product and research teams to translate AI strategies into production-ready systems.
• Act as a technical thought leader, communicating strategies to senior leadership.

Skills

Python

Go

Cloud platforms

Backend architecture

Distributed systems

Education

Bachelor's degree in computer science

Master's degree

PhD

Tools

Docker

Kubernetes

Job description

Cisco Systems, Inc is seeking a Technical Lead to drive architectural strategy for the Studio platform, bridging AI research with production-grade software. You will lead scalable backend technologies and guide cross-functional teams, delivering robust, distributed systems for enterprise-scale AI applications.

You will collaborate with product and research to translate AI strategies into production-ready systems, mentor engineers, and influence senior leadership with clear technical direction