Software Engineer - Video

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

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See yourself at Twilio

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.

Who we are why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias..

About the job

This position is needed to add to our Voice Connectivity Trust team in the US 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

In this role, you’ll:

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

Qualifications

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

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

Desired:

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…