Software Development Engineer

Join Twilio as a Software Engineer (L2) for Voice Trust, where you'll help ensure reliable voice communication for Twilio's Voice customers. You'll participate in all phases of the software development life cycle, own and maintain your team's services, and work closely with stakeholders to understand customer needs. This role offers opportunities for remote work, generous time off, comprehensive health programs, and more.

• Participate in all phases of the software development life cycle, including requirements gathering, technical design, coding, testing, and deployments.
• Design and implement real-time services with high throughput and low latency requirements, and operationalize them.
• Work closely with stakeholders to understand customer needs and deliver simple, robust, and scalable solutions.

• Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
• Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents
• Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
• Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
• Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples
• Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
• Bachelor's degree in Computer Science or a related engineering field
• Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
• Understanding of CI/CD pipelines
• Minimum 2+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
• Able to work well in a team setting and both highly motivated and motivating
• Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
• Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
• Can demonstrate how you effectively use AI to deliver value efficiently
• Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems
• Knowledge and experience working with SIP protocol
• Knowledge and experience working with Stir/Shaken protocol