3+ years of customer support engineering experience (or comparable customer-facing technical role), preferably for mission-critical software
3+ years supporting enterprise-sized companies
2+ years diagnosing production network connectivity and performance issues
Excellent problem solving, analytical and troubleshooting experience
Experience communicating clearly and effectively, both verbally and in writing
Experience with Terraform
Experience with major cloud platforms, distributed systems, microservices architecture, and containerization (e.g., Kubernetes)
Experience with scripting tool of choice to help automate reproduction environments (e.g., Bash, Python, Ruby)
Ability to read complex code for troubleshooting
Experience with GitHub
Experience with REST APIs and command line tools
Well-organized, excellent work ethics, attention to detail, and ability to learn new technologies quickly
Experience working in a startup environment
(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
DevOps Engineering, Software Engineering, and/or System Administration experience
Software-defined networking experience (e.g., Tailscale)
Experience supporting engineering teams and associated tooling
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com.
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact
[email protected].