Software Development Engineer 2

Role Overview

Join the team as Twilio’s next Software Engineer (L2) - for Voice Trust: helping ensure Twilio’s Voice customers have reliable voice communication with their customers that ensure their customers will answer their calls. This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing Agile methodologies to continuously deliver value to customers.

Responsibilities

• Be an owner: Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
• Wear the customer's shoes: Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
• Write it down: Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
• Be bold: Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
• Draw the owl: Figure out novel ways of solving customer problems for the Voice channel

Requirements

• Minimum 2+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
• Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
• Understanding of CI/CD pipelines
• Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
• Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
• Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
• Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents
• Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar)

Skills

• Java
• Kafka
• AWS
• RESTful APIs
• Distributed Systems