Senior Engineer, Security Automation

About the Role

The role is part of Twilio's broader effort to revolutionize how the world interacts, and as such, you will be working with a vibrant team of professionals with diverse experiences making a global impact each day. Your career at Twilio is in your hands, with opportunities to grow and develop your skills in a dynamic and supportive environment.

What You Will Do

• Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure
• 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

What We Are Looking For

• Strong experience in software development, with a focus on security automation and AI-powered solutions
• Proficiency in programming languages such as Python, Java, or C++
• Experience with cloud security platforms, such as AWS or Azure
• Knowledge of data orchestration frameworks and LLM-based approaches
• Strong understanding of security principles and best practices
• Experience with Agile methodologies and collaborative development environments
• Excellent communication and problem-solving skills
• Ability to work effectively in a remote team environment

Nice to Have

• Experience with machine learning and artificial intelligence
• Knowledge of cybersecurity frameworks and regulations, such as NIST or GDPR
• Familiarity with containerization and orchestration tools, such as Docker or Kubernetes
• Experience with security information and event management (SIEM) systems

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a dynamic and innovative company
• Collaborative and supportive team environment
• Professional development and growth opportunities
• Flexible working hours and remote work options
• Access to cutting-edge technologies and tools
• Comprehensive health and wellness benefits
• Generous parental leave and family care policies

• Be prepared to demonstrate your technical expertise in security automation and AI-powered solutions, with specific examples from your experience.
• Show a strong understanding of security principles and best practices, and be able to explain how you've applied them in previous roles.
• Highlight your experience working with cross-functional teams and collaborating on security solutions.
• Be prepared to discuss your experience with Agile methodologies and collaborative development environments.
• Consider including examples of your work in a portfolio or GitHub repository to demonstrate your skills and experience.
• Don't be afraid to ask about the company culture and values during the interview process, to ensure you're a good fit for the team.
• Be aware of the potential risks and challenges of working in a remote environment, and be prepared to discuss how you stay motivated and connected with the team.