Senior Staff Site Reliability Engineer

Where we Work

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.

About your skills [3-4 bullets]

• Scope: You own the end to end development of systems by prioritizing work, understanding user requirements and understanding the tradeoffs between design decisions.

• Decision Making: You use critical thinking to follow a defined decision making process and consider multiple perspectives. Upon making a decision, you are clear in your communication and ensure everyone is aligned in execution.

• Coaching: You have strong coaching skills that allow you to actively listen and ask the kind of questions that will help you diagnose and effectively address issues. 

About this role

• At Udemy the SRE team manages infrastructure from our CDN right back as far as Datastores. In between, we own load balancers, kubernetes clusters and CI/CD.

• We maintain and develop the 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 standards of reliability across the organisation and work closely with development teams to ensure best practices. 

What you’ll be doing [6-8 bullets for role responsibilities to be edited as needed]

• You’ll be the lead on projects developing and improving our infrastructure and tooling working with our team and teams across 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.

What you’ll have [6-8 bullets for role requirements to be edited as needed]

• 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