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Twilio

Build the future of communications.

Senior Engineer, Security Automation

Security EngineerSecurity EngineerFull TimeRemoteSeniorTeam 5,001-10,000H1B SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

58 days ago

Salary

0

Seniority

Senior

Job Description

Senior Engineer, Security Automation

Twilio

• 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.

Job 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.

Benefits

  • generous time-off
  • ample parental and wellness leave
  • healthcare
  • a retirement savings program

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