Staff Engineer, Software

Role Description

We are seeking an experienced network automation script specialist to drive innovative test transformation. Your mission is to create an automation script framework that enables the development of new automation scripts that can seamlessly integrate into existing software development pipelines to intelligently verify PR code changes. This person will analyze existing network automation scripts and develop a list of automation script enhancements to optimize the verification phase of the product SDLC process. This includes using AI to design, develop, and enhance new and existing automation scripts. Experience with integrating agentic AI workflows into automation scripts to provide test failure problem determination and suggest possible remediations is a must.

You will be part of a team that collaborates with the larger DevTestOps Team and software development teams to build an immersive, intuitive, robust, and full-featured control center for managing and operating world-wide network automation test infrastructure. The Test Automation Control Center will consist of a set of cloud-hosted applications controlling multiple physical on-prem systems distributed worldwide. Control capabilities cover scheduling, monitoring, analyzing, and reporting tests from the initial developer Pull Requests to the final release regression validation. Managed equipment includes the entire range of Celestica switches, high-performance IXIA traffic generators, and a variety of equipment commonly found in data center racks. You will use your knowledge of AI agents to integrate intelligent workflows that select the best automation test cases to run, diagnose test failures for rapid resolution, and analyze test coverage to provide predictive product quality assessment.

You are someone who views a "test failure" not as a manual ticket to close, but as a data point for an AI agent to analyze. You prefer building ecosystems over writing one-off scripts, and you are comfortable investigating product failures one minute and integrating agentic AI agents into a CI/CD pipeline the next.

Qualifications

• Expert Development: Proven experience building complex automation script frameworks using extensive sets of common libraries.
• Testing Infrastructure: In depth experience running, triaging, and debugging automation scripts.
• Networking & Hardware Context: Familiarity with high-performance networking environments, specifically SONiC, OpenBMC, and data center hardware management.
• AI/ML Application: Practical experience integrating AI agents or LLM-based workflows into software applications to automate decision-making and analysis.
• Engineering Rigor: Deep understanding of test-driven development (TDD), CI/CD pipelines, and robust software engineering practices.
• Systems Thinking: Ability to bridge the gap between cloud-hosted software and physical hardware distributed across global sites.

Requirements

• Infrastructure & SDLC Integration
• Architect & Design: Lead the design and implementation of a robust automation script framework that enables AI to quickly create new automation scripts that will run within a confederation of Automation Testbeds.
• Full-Stack Development: Maintain and enhance existing automation scripts to maintain hardened execution reliability.
• AI Integration: Integrate agentic AI workflows to automate resolution of script failures.
• End-to-End Visibility: Analyze script failures to identify software components that are below accepted reliability standards.
• Collaboration: Work closely with DevTestOps and software development teams to ensure the control center provides services to engineers to assist with debugging and retesting updated scripts.

Benefits

• Salary range: 118K - 184K, including Base Salary and target Short-Term Incentive (STI) compensation.
• Comprehensive benefits package offered in addition to the salary range.

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.