Senior Software Engineer (L3)

Twilio

6d•$141,520 - $208,000•Remote

About The Position

The Compliance Experiences team at Twilio is responsible for two critical domains: Phone Numbers and Compliance (KYC). In 2026, obtaining a phone number will involve sophisticated orchestration across global inventory, real-time identity verification, regulatory compliance, and large-scale operational tooling. Twilio’s KYC Platform acts as the gateway to all communication APIs, enabling secure global provisioning and operation of communication services while navigating complex and evolving regulatory requirements. As a Software Engineer (L3), you will be a key technical contributor, driving feature design, execution, and operational health for platform services processing millions of requests. You will build scalable, high-performance solutions, collaborate with engineering partners for alignment, and own end-to-end feature delivery. This includes authoring technical specifications and building robust APIs, microservices, and tooling for cross-functional stakeholders. You will also embrace AI-driven development workflows, utilizing LLMs and agentic tools to accelerate code generation, enhance automated test coverage, and translate complex requirements into executable logic, ultimately turning technical designs into reliable, production-grade features.

Requirements

5+ years of experience designing and developing highly available, high-scale, secure, mission-critical cloud-native enterprise distributed systems.
Strong Proficiency in Java or Go, 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.

Nice To Haves

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.

Responsibilities

Contribute significantly to the technical design and roadmap for core platform components, authoring technical specifications and driving execution to transition legacy systems into modern, scalable cloud-native microservices.
Actively leverage AI coding assistants (GitHub Copilot, Anthropic Claude, or internal LLMs) to automate boilerplate, generate comprehensive test suites, and rapidly prototype solutions. Set an example within the team for amplifying individual velocity while maintaining high standards of code quality and safety guardrails.
Drive technical excellence and end-to-end component ownership within your team, making sound technical decisions that balance rapid feature delivery with system reliability, security, and technical debt reduction.
Partner with Product Managers and cross-functional stakeholders to translate customer needs and regulatory requirements into precise technical specifications, developer-first APIs, and seamless application workflows.
Mentor and uplift junior engineers (L1–L2), onboard new team members, and foster a collaborative environment through constructive code reviews, tech talks, and technical guidance.
Proactively identify and resolve technical risks, performance bottlenecks, and security vulnerabilities within team services. Fully own on-call responsibilities, driving incident resolution and following through with durable root-cause remediation.
Articulate technical designs, system trade-offs, and operational runbooks clearly to your team and cross-functional partners through high-quality design documents, RFCs, and thorough documentation.