Software Engineer L3

See yourself at Twilio

Join the team as Twilio’s next Software Engineer (L3).

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 Software Engineer (L3), you will be a key technical contributor driving the feature design, execution, and operational health of platform services that process millions of requests. You will build scalable, high-performance solutions while working closely with engineering partners across Twilio to ensure alignment. You will own end-to-end feature delivery, author technical specs, and build robust APIs, microservices, and tooling relied on by cross-functional stakeholders.

You will embrace AI-driven development workflows, using LLMs and agentic tools to accelerate code generation, expand automated test coverage, and translate complex business and regulatory requirements into executable logic. Your mission is to turn technical designs and blueprints into reliable, production-grade features.

In this role, you’ll

• DRAW THE OWL: Contribute Significantly to the architecture and long-term technical roadmap for the Phone Numbers Platform, 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 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.
• BE AN OWNER: Drive technical excellence in the team, making critical architectural decisions that balance rapid feature innovation with world-class reliability and security.
• WEAR THE CUSTOMER’S SHOES: Partner with Product Managers to translate complex global telecommunications regulations and customer needs into elegant, developer-first APIs and application workflows.
• EMPOWER OTHERS: Mentor and uplift junior and mid level 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.
• RUTHLESSLY PRIORITIZE: Identify and mitigate technical risks early, ranging from scalability bottlenecks to security vulnerabilities and lead the team through complex production incidents with a focus on long-term remediation.
• WRITE IT DOWN: Articulate technical designs and system trade-offs clearly to your team and cross-functional partners through high-quality design documents, RFCs, and collaborative discussions.

Required

• 5+ years of experience designing and developing highly available, high-scale, secure, mission-critical cloud-native enterprise distributed systems.
• Strong Proficiency in Java or Python with solid knowledge of AWS ecosystems (Lambda, EKS, DynamoDB, Kafka).
• Cloud-Native Architecture: Hands-on experience with cloud-native infrastructure (AWS preferred), microservices patterns, and building highly resilient systems.
• 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.
• API Design: Experience building and maintaining high-volume public-facing APIs with a focus on developer experience.
• Data Proficiency: Experience with high-throughput data processing and storage solutions (SQL/NoSQL, Redis, Kafka, or Spark).
• 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.

Desired

• Platform Thinking: Experience building "internal platforms" that enable other developer teams to move faster.
• Agentic Systems: Experience building or integrating AI agents into internal developer platforms or automated ops workflows.

Location

This role will be remote, and based in India .