Senior Engineer, Security Automation

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient, fair, and transparent, but automation never makes the final call. Every hiring decision is made by real Twilions, ensuring a human touch at every step. . See yourself at Twilio Join the team as Twilio’s next Security Engineer, Security Automation on Twilio’s Information Security Team. About the job This position is needed to assist Twilio’s Information Security Team operate more efficiently by improving and automating our critical security workflows. As a Software Engineer, Security Automation on this team, you will participate in all phases of the software development life cycle which includes requirements gathering with security teams, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. You will own, operate and maintain automated workflows that support various security programs including but not limited to cloud security, product security, Governance, Risk & Compliance (GRC) and enterprise security, employing Agile methodologies to continuously deliver value to our partners. Responsibilities In this role, you’ll: • 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. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: • 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 Desired: • Experience with Security Orchestration, Automation, and Response (SOAR) technologies and practices, with a focus on scaling automated incident response • Proven ability to design and implement security automation frameworks that enable ra