Senior DevOps / Platform Engineer - Runtime Validation & Governance

As Senior Agentic DevOps Engineer - Runtime Validation & Governance, you will design and implement the runtime validation, control, and governance layer that determines how AI-generated logic is tested, verified, and promoted into production.

This is not a traditional DevOps role. You will work on advanced deployment and validation pipelines where autonomous agents, simulations, and safety controls are first-class citizens. Your work ensures that AI-driven orchestration remains explainable, reversible, traceable, and auditable before impacting live engineering systems., * Design sandboxed and containerised execution environments for testing AI-generated logic prior to deployment

• Build and maintain multi-stage validation and release pipelines (sandbox validation gated staging monitored production)
• Define runtime health metrics, confidence thresholds, and promotion gates for autonomous agent outputs
• Develop regression and continuous verification frameworks to detect drift, instability, or unexpected behaviours in agent-driven workflows
• Implement telemetry, observability, and traceability pipelines capturing agent decisions, validation results, and anomalies
• Design snapshotting and rollback mechanisms to safely restore verified system states
• Ensure auditability, reproducibility, and governance of all agent-generated artefacts
• Collaborate closely with AI researchers, platform architects, safety engineers, and UI teams

Do you have experience in UI?, * 5+ years of experience in DevOps, platform engineering, systems engineering, or high-assurance infrastructure

• Strong experience designing CI/CD pipelines for complex, production-grade systems
• Proven background in sandboxing, controlled deployments, validation pipelines, or safety-critical systems
• Strong programming skills in Python and C or C++
• Experience with runtime monitoring, telemetry, rollback, and failure recovery mechanisms
• Solid understanding of distributed systems and production reliability

Desired Qualifications

• Experience with AI agent frameworks (e.g. LangGraph, LangChain, or similar)
• Exposure to simulation environments, HPC systems, or digital twins
• Knowledge of regression testing strategies, differential validation, or confidence-based promotion models
• Background in autonomous systems, robotics, or AI governance
• Experience working in regulated, high-assurance, or safety-critical environments

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About the Team Keysight's Applied AI Autonomy Initiative is building a next-generation orchestration framework that enables AI agents to reason, adapt, and coordinate across complex engineering workflows. The team works at the intersection of AI systems, platform engineering, and high-assurance software, focusing on how autonomous systems can be safely validated, governed, and deployed into production environments used by engineers worldwide. Our Barcelona R&D hub brings together experienced engineers, researchers, and system architects in a highly collaborative, international environment.