Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security processes and build intelligent solutions Solid understanding of software security principles, secure coding practices, and security automation Experience with data orchestration frameworks (e.g., Airflow, Dagster, Prefect) Familiarity with infrastructure-as-code (Terraform), CI/CD systems (BuildKite or similar), and container orchestration platforms (Kubernetes, Docker) Strong problem-solving, communication, and collaboration skills