Senior Staff Site Reliability Engineer

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home.

Learn more about us on our company page.

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

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• Scope: You own the end-to-end development of systems by prioritizing work, understanding user requirements, and evaluating tradeoffs between design decisions.
  
• Decision Making: You use critical thinking to follow a defined decision-making process and consider multiple perspectives. When you decide, you communicate clearly and ensure alignment in execution.
  
• Coaching: You have strong coaching skills that enable you to listen actively and ask the right questions to diagnose and address issues effectively.
  

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• At Udemy the SRE team manages infrastructure from our CDN back to Datastores, including load balancers, Kubernetes clusters, and CI/CD.
  
• We maintain and develop tools that build our infrastructure such as Helm and Terraform.
  
• We run development environments to enable our dev teams to build and test changes quickly.
  
• We build tools to accommodate the needs of our internal customers using Python and Golang.
  
• We respond to incidents and drive reliability standards across the organization, working closely with development teams to ensure best practices.
  

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• You’ll be the lead on projects developing and improving our infrastructure and tooling, collaborating with the engineering department.
  
• You’ll act as a mentor to other engineers on the SRE team.
  
• You’ll champion SRE best practices.
  
• You’ll participate in an on-call rota.
  

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• Experience managing Kubernetes clusters and cloud environments.
  
• Experience using infrastructure as code tools to deploy infrastructure.
  
• Experience writing tools and applications using programming languages such as Python, Golang, and Kotlin.
  
• Experience being on call.
  
• Experience working with a wide variety of engineering teams to guide them on best practices.
  
• Good communication skills and an ability to both share and receive feedback in a responsible manner.
  
• Extensive knowledge of cloud technologies. AWS is a particular advantage.
  
• Experience managing containerised workloads using Kubernetes in a production environment.
  
• Experience with programming languages such as Python, Golang, and Kotlin.
  
• Experience with infrastructure as code tools such as Terraform and Helm.
  

You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on improving skills. You can focus on AI and related areas as you prefer.

AI is real here. We use it in the way we learn and work. You’ll have space and tools to experiment, apply, and get better at using AI in practical ways.

You’ll own your work. We trust people to lead, make decisions, and follow through without waiting for permission or layers of approval.

You’ll build with others. We collaborate openly and welcome good thinking from any direction.

You’ll see your impact. What you build helps people grow their skills, change careers, or find a path forward.

Bring your curiosity. We’ll bring the platform and support. Let’s learn together.

Benefits start with you and are built to provide protection and care for you and your family. Benefits vary by region. Review regional benefit pages for details during the hiring process.

Benefits outlined are provided as a general overview and may vary by location, role, and employment classification. All benefits are subject to change at the organization’s discretion.

Udemy values diversity and inclusion and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We welcome diverse experiences and perspectives. xcfaprz

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