Cloud Engineer

Skills this role screens for

About the role

Cisco is hiring for the role of Cloud Engineer!

The work

Responsibilities of the Candidate

• Build and extend real-time backend services for the AI Agent platform in Java (Java 21, Quarkus) and Python, for both voice and chat conversations.
• Implement platform features such as long-lived streaming sessions over gRPC and WebSockets, event pipelines on Kafka, session state in Redis and durable data in PostgreSQL, and integrations with customer and partner systems through REST APIs and webhooks.
• Follow spec-driven development: before implementing a feature or any non-trivial change, write a proper spec (scope, API/Protobuf contract changes, data and state model, failure handling and test plan), get it reviewed, then build and test against it.
• Use AI coding tools (such as GitHub Copilot, Cursor, ChatGPT or Codex) for implementation, tests, debugging and documentation, while owning the correctness, security and quality of everything you merge.
• Write code that holds up in real time: correct timeouts, retries, cancellation and backpressure on streaming paths, bounded per-session resources, and measurable gains in end-to-end latency.
• Write unit, integration and functional tests, and extend the team’s load and chaos test suites and release gates.
• Ship through Docker, Kubernetes and CI/CD pipelines, and instrument every new code path with metrics, traces and dashboards (OpenTelemetry, Grafana).
• Support what you build in production: triage issues across the service, data, network and integration layers, find the root cause and land a lasting fix.
• Work closely with product management, UX, SRE, security and the product teams that use the platform.

Who they want

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field, or equivalent practical experience, with 1-3 years of professional backend software development.
• Strong hands-on Java (Java 17 or later): you have built and shipped production microservices and REST APIs with Quarkus, Spring Boot or a similar framework.
• Strong hands-on Python: you write production-quality Python for services, tooling or test automation.
• Hands-on experience deploying and running services with Docker and Kubernetes on a public cloud (AWS, Azure or Google Cloud).
• Spec-driven development: you write a proper spec before implementing a non-trivial change (scope, API contract, data model, edge cases, test plan) and then build and test against it.
• AI-assisted development: you use AI coding tools such as GitHub Copilot, Cursor, ChatGPT or Codex in your daily work, and you review, test and correct what they generate.