Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

The Senior Security Automation Engineer designs and delivers automation solutions that improve security, reduce manual work, and increase team productivity. This role partners with developers, engineers, and team members to identify challenges and build scalable solutions using AI, cloud technologies, and automation. You are curious, customer-focused, and passionate about using AI to transform the way teams work. You will report to the Director of Security and Risk.

Responsibilities

• You will design, develop and maintain automation solutions that improve security operations, vulnerability management, compliance activities, and other business processes.
• Build and support AI-powered applications, workflows, and services using large language models, cloud technologies, and modern development practices.
• Partner with security teams, engineers, developers, and stakeholders to understand challenges and translate them into technical solutions.
• Deploy, manage, and optimize automation, AI, and data-driven services within Amazon Web Services and other cloud-native environments.
• Ensure data quality, governance, monitoring, and reporting processes are in place to increase the accuracy, reliability, and trustworthiness of automated solutions.
• Promote best practices in automation, AI, and data-driven decision making by sharing knowledge, mentoring team members, and encouraging continuous improvement.
• 5+ years of experience in software engineering, security engineering, cloud technologies, automation, data engineering, data science, or a related field.
• Experience developing automation solutions, data pipelines, or AI-powered applications using languages such as Python, SQL, JavaScript/TypeScript, Go, or similar technologies.
• Hands-on experience working with artificial intelligence, machine learning, large language models, or AI-assisted development tools.
• Experience designing, deploying, and supporting applications, automation frameworks, or data services in Amazon Web Services cloud environments.Knowledge of data quality, governance, monitoring, and evaluation practices that help ensure secure, reliable, and auditable solutions.