Principal Engineer
TwilioWho 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. That said, every hiring decision is made by real Twilions!
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See yourself at Twilio
Join the team as Twilio’s next Principal Engineer.
About the job
The Compliance Experiences team sits at the heart of the Twilio platform, owning two critical domains: Phone Numbers and Compliance (KYC).
In 2026, "getting a phone number" is no longer a simple API call; it requires sophisticated orchestration across global phone number inventory, real-time identity verification, regulatory compliance, and operational tooling at massive scale.
Twilio’s KYC Platform, the gateway to accessing all of Twilio’s communication APIs, enables customers to securely provision and operate communication services globally while navigating complex, constantly evolving regulatory requirements.
As a Principal Engineer (P5), you will own the technical strategy for a platform that processes millions of requests. You will be expected to pioneer AI-driven development workflows using LLMs and agentic agents to accelerate code generation, automate architectural reviews, and synthesize complex global telecommunications regulations into executable logic. Your mission is to collapse the distance between a great idea and a production ready feature.
Responsibilities
In this role, you’ll:
- DRAW THE OWL: Lead the architecture and long-term technical roadmap, transitioning legacy systems into a modern, distributed microservices architecture that supports global scale.
- ACCELERATE WITH AI: Lead by example in using AI coding assistants (GitHub Copilot, Anthropic Claude, or internal LLMs) to automate boilerplate, generate exhaustive test su
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