Cisco

Overview

As a Senior Backend Engineer on the Agent Resilience Team within Galileo, you will build scalable backend services that power agent observability, metrics, token usage, and other AI resilience capabilities. You’ll work primarily in Python and Go and collaborate across engineering and AI teams to build reliable, high-throughput products for enterprise environments.

About 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.

Requirements & Eligibility

• Bachelor's degree with 7+ years of related experience, or Master's degree with 4+ years of related experience, or equivalent practical experience.
• 5+ years of experience developing production backend applications and services using Python and/or Go, with strong proficiency in Python.
• Experience designing, building, and scaling applications or services that support high traffic, high throughput, large data volumes, or significant numbers of users.
• Experience building backend services and APIs and working with databases, distributed application components, or data-intensive systems.
• Experience writing automated tests for backend applications using frameworks such as pytest or comparable testing tools.

Key Responsibilities

• Design, develop, and scale backend services and APIs supporting Agent Resilience products, including observability, metrics, tokenomics, and agent-related capabilities.
• Build high-throughput applications designed to handle large volumes of users, requests, and data while improving system scalability, reliability, and performance.
• Develop primarily in Python, with additional development in Go, and write automated tests using tools such as pytest or similar frameworks.
• Work with technologies such as databases, Kafka or similar streaming systems, and data platforms to consume and process data required by customer-facing product capabilities.
• Collaborate with front-end engineers, AI researchers, product managers, and other engineering teams to translate complex AI and observability capabilities into scalable enterprise products.