Staff Software Engineer

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 th...

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

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

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!
Minimum 8 years of hands-on experience in a large scale, distributed applications environment on JVM based technologies 
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
Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
Hands-on experience designing and driving the optimization of CI/CD pipelines
Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
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
Hands-on Java experience with strong fundamentals, able to architect, review, and debug code whether it's yours, a teammate's, or an AI agent's
Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples 
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
Strong team collaborator who is both highly motivated and a motivating influence on peers
Demonstrated technical leadership by driving architectural decisions, leading cross-functional technical initiatives, and actively mentoring team members
Can demonstrate how you effectively use AI to deliver value efficiently
Knowledge  and experience working with SIP protocol
Knowledge and experience working with Stir/Shaken protocol