Senior Engineer - Security Automation

UKFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum of five (5) years
Required Skills
DockerPythonKubernetesAirflowTerraform

Requirements

  • 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) to manage and scale automation pipelines
  • 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, with the ability to iterate quickly on feedback and work across security and engineering teams

Responsibilities

  • Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure, leveraging data orchestration frameworks and LLM-based approaches
  • Build workflows that integrate structured and unstructured data sources into orchestrated pipelines, enabling intelligent decision-making and risk reduction at scale
  • Design and prototype LLM-driven applications to automate security analysis, incident response, and governance tasks, while ensuring explainability and accuracy
  • Collaborate with cross-functional teams to identify security needs and deliver advanced AI-enabled solutions that address those needs effectively
  • Contribute significantly to defining our security automation and AI roadmap, balancing near-term and long-term business impact with technical feasibility and scalability
  • Own and maintain the operational health of automation and AI-driven systems, ensuring they continue to meet reliability and performance requirements (SLOs and KPIs)
  • Support on-call operations for tools, pipelines, and AI models owned by the team
  • Document and share knowledge through clear technical documentation of processes, procedures, AI models, and orchestration systems
  • Stay up-to-date on emerging trends in security automation, data orchestration, and AI/LLMs—and apply them to Twilio’s security operations for continuous innovation
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