Staff Software Engineer

Job Description

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. In this role, you’ll: Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them. Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions. 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. 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. Figure out novel ways of solving customer problems for the Voice channel.

Skills Required

• JVM based technologies
• Large scale distributed applications
• Computer Science fundamentals
• Data structures
• Algorithms
• Operating systems
• Distributed systems
• RESTful services
• API design
• Event-driven architectures
• Kafka
• SQS
• CI/CD pipelines
• On-call rotations
• Incident response
• Monitoring tools
• Alerting tools
• Prometheus
• Datadog
• Grafana
• Cloud infrastructures
• AWS
• GCP
• OpenStack
• Azure
• Written communication
• AI prompting
• Technical documentation
• AI-generated code evaluation
• Java
• Code architecture
• Code review
• Debugging
• AI coding assistants
• Claude
• GitHub Copilot
• Cursor
• SQL/NoSQL database
• Caching technologies
• Scaling data tiers
• Scaling production backend systems
• Horizontally-scalable systems
• Resilient systems
• Performing-under-load systems
• Team collaboration
• Technical leadership
• Architectural decisions
• Cross-functional technical initiatives
• Mentoring
• SIP protocol
• Stir/Shaken protocol