Software Engineer-Platform Engineering (L3)

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.

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Hiring and how we work

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

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

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See yourself at Twilio

Join the team as Twilio’s next Software Engineer, Platform Engineering (L3)

About the job

This position is a critical engineering role within Twilio Platform Engineering, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems.

Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly As an L3 engineer, you will build and operate resilient backend services at scale and contribute to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure

Youll run Kubernetes beyond the boundaries of managed services, automate infrastructure with Terraform, and write production code to help keep distributed systems healthy under real production load while using modern AI-assisted tooling to move faster.

Responsibilities

In this role, you’ll

WEAR THE CUSTOMER’S SHOES: Design, build, and operate services and automations to manage kubernetes clusters at scale. Partner closely with product management and technical leaders