Software Engineer (L2) Messaging Channels Team

Twilio

8h•$116,960 - $185,640•Remote

About The Position

This position is needed to power the future of communications by developing the connectivity, compliance and rich messaging features required to enable adoption of new messaging channels and drive continued growth of existing channels such as WhatsApp, RCS and Facebook Messenger. Our team navigates the complexities of requirements across many channels to enable Twilio customers to have a unified and seamless experience. We enable startups, non-profits and Fortune 500 companies to send billions of messages a year on our platform. We are looking for candidates passionate about designing, developing, deploying and operating software solutions at scale to help Twilio deliver the best user experience for modern, rich messaging.

Requirements

3+ years of hands-on software development experience building backend services in Java or Go
Experience designing and building production RESTful APIs as a core part of your day-to-day role
Experience operating distributed systems on top of cloud infrastructure (AWS preferred, or equivalent experience with Azure/GCP)
Hands-on use of AI development tools (e.g. Claude, Copilot) to streamline coding, debugging or documentation
Strong written and verbal technical communication skills
Ability to participate in on-call rotation (includes weekends and holidays)

Nice To Haves

Experience with NoSQL datastores (e.g. DynamoDB)
Experience with message queuing (e.g. Simple Queue Service)
Experience deploying and supporting containerized applications in Kubernetes
Prior experience with telecom or rich messaging platforms (RCS, SMS/MMS, OTT messaging)

Responsibilities

Design, develop, and maintain high-performance REST APIs and backend microservices using Java and Go.
Build and enhance rich messaging features, managing high-throughput message routing and delivery pipelines.
Deploy and support backend services in AWS (open to Azure/GCP experience), prioritizing system reliability, low latency, and fault tolerance.
Actively integrate AI-assisted development tools (e.g., Claude, Copilot) into your daily workflow to accelerate output and elevate code quality.
Support team on-call rotations to maintain high availability and operational excellence for critical communications services.
Partner asynchronously across distributed engineering teams using clear technical written and verbal communication.