Principal Engineer

Twilio Twilio · Enterprise · United States · Remote · Engineering

Principal Engineer to own technical strategy for a platform processing millions of requests, pioneering 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. The mission is to collapse the distance between a great idea and a production ready feature.

What you'd actually do

  1. Lead the architecture and long-term technical roadmap, transitioning legacy systems into a modern, distributed microservices architecture that supports global scale.
  2. Lead by example in using AI coding assistants (GitHub Copilot, Anthropic Claude, or internal LLMs) to automate boilerplate, generate exhaustive test suites, and perform rapid prototyping. You will be measured on your ability to amplify your own output and the team's velocity through AI augmentation.
  3. Drive technical excellence across multiple teams, making critical architectural decisions that balance rapid feature innovation with world-class reliability and security.
  4. Partner with Product Managers to translate complex global telecommunications regulations and customer needs into elegant, developer-first APIs and application workflows.
  5. Mentor and uplift senior and staff engineers. Foster a culture of technical curiosity, ownership, and continuous learning. Teach the team how to move from "writing code" to "reviewing and orchestrating AI-generated logic" without sacrificing security or quality.

Skills

Required

  • Java or Go
  • AWS ecosystems (Lambda, EKS, DynamoDB, Kafka)
  • cloud-native infrastructure
  • microservices patterns
  • designing "five-nines" (99.999%) resilient systems
  • AI tools to significantly accelerate software delivery
  • LLMs for architectural brainstorming, debugging, and code synthesis
  • high-volume public-facing APIs
  • high-throughput data processing and storage solutions (SQL/NoSQL, Redis, Kafka, or Spark)
  • Kubernetes
  • Terraform
  • modern CI/CD paradigms
  • influence technical strategy across multiple teams and organizational boundaries without direct authority

Nice to have

  • Telecom Domain Expertise
  • telephony protocols
  • local number porting (LNP)
  • global regulatory compliance frameworks
  • Platform Thinking
  • building "internal platforms"
  • Agentic Systems
  • building or integrating AI agents into internal developer platforms or automated ops workflows

What the JD emphasized

  • AI-Native Workflow
  • AI tools to significantly accelerate software delivery
  • use LLMs for architectural brainstorming, debugging, and code synthesis
  • Agentic Systems

Other signals

  • AI-driven development workflows
  • LLMs and agentic agents
  • automate architectural reviews
  • synthesize global telecommunications regulations into executable logic
  • accelerate code generation