Software Engineer - Video

Twilio provides real-time business communications and data solutions that help companies and developers build applications and customer experiences. The Software Engineer (L2) will join the Voice Connectivity Trust team to design, develop, deploy, and operate reliable, scalable voice services in a distributed production environment while collaborating with product managers, stakeholders, and cross-functional teams.

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 2-3+ 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
• Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
• 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) - you should be able to describe your workflows and show examples
• Bachelor's degree in Computer Science or a related engineering field
• Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
• Able to work well in a team setting and both highly motivated and motivating
• This role will be Remote in the USA but is not eligible to be hired in CA, NY, WA, PA, CT.
• For this role, you may be required to travel occasionally to participate in project or team in-person meetings
• Can demonstrate with metrics how you have used AI to increase productivity
• Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
• 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