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.

About the Role

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

Required Qualifications

• 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

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***