Senior Software Engineer

Twilio

United States Posted October 3, 2026

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Remote Full-time Senior
Salary Range

$141,520 - $208,000

Job Description

Join Twilio as a Senior Software Engineer on the Compliance Experiences team, where you'll play a key role in driving the feature design, execution, and operational health of platform services that process millions of requests. You'll build scalable, high-performance solutions, embrace AI-driven development workflows, and mentor junior engineers. This is an opportunity to make a significant impact on the Twilio platform and contribute to the future of communication technology.

  • Contribuer de manière significative à la conception technique et à la feuille de route des composants de la plateforme, en rédigeant des spécifications techniques et en pilotant l'exécution pour faire évoluer les systèmes hérités vers des microservices cloud modernes et évolutifs.
  • Utiliser activement les assistants de codage AI pour automatiser le code standard, générer des suites de tests complètes et prototyper rapidement des solutions. Servir d'exemple au sein de l'équipe pour amplifier la vitesse individuelle tout en maintenant des normes élevées de qualité du code.
  • Mentorer et élever les ingénieurs juniors, accueillir les nouveaux membres de l'équipe et favoriser un environnement collaboratif grâce à des revues de code constructives, des discussions techniques et des conseils techniques.
  • 5+ years of experience designing and developing highly available, high-scale, secure, mission-critical cloud-native enterprise distributed systems
  • Cloud-Native Architecture: Hands-on experience with cloud-native infrastructure (AWS preferred), microservices patterns, and building highly resilient systems
  • API Design: Experience building and maintaining high-volume public-facing APIs with a focus on developer experience
  • AI-Augmented Development: Practical experience using AI tools (e.g., Copilot, Claude, Cursor) to accelerate software delivery. You should be comfortable discussing how you use LLMs for debugging, code synthesis, and prototyping
  • Infrastructure as Code: Familiarity with Kubernetes, Terraform, and modern CI/CD paradigms
  • Collaboration & Influence: Demonstrated ability to influence technical decisions within your team through strong communication and technical credibility
  • Strong Proficiency in Java or Go, with solid knowledge of AWS ecosystems (Lambda, EKS, DynamoDB, Kafka)
  • Data Proficiency: Experience with high-throughput data processing and storage solutions (SQL/NoSQL, Redis, Kafka, or Spark)
  • Agentic Systems: Experience building or integrating AI agents into internal developer platforms or automated ops workflows
  • Platform Thinking: Experience building "internal platforms" that enable other developer teams to move faster
Required Skills
software development compliance communication microservices cloud-native distributed systems Amazon Web Services GitHub Copilot LLM prototyping Kubernetes Terraform CI/CD collaboration Java AWS Lambda
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