Senior Customer Support Engineer
Coder is hiring a Senior Customer Support Engineer for a remote role. It pays $128k-$194k a year and Level rates it ; you can apply on Level.
AI in this role
Resolve complex technical issues and support enterprise software developers in a remote support engineering role.
Coder builds enterprise software that keeps developers in flow. As a Senior Customer Support Engineer, you will help customers solve complex technical issues, get unstuck faster, and build with confidence.
You will work closely with Product, Customer Success, and Enterprise Account Managers to resolve urgent issues, improve support workflows, and turn customer feedback into better product experiences. This is a highly visible role on a growing team, with direct impact on how customers experience Coder.
What you’ll do here
Reproduce and debug customer issues using existing tools, test environments, or custom reproduction setups
Solve incoming technical support requests in a timely manner, including urgent, high-severity cases
Communicate clearly and tactfully with customers throughout the support lifecycle
Gather context, provide diagnostic steps, share resolution guidance, and follow up after issues are resolved
Identify and communicate product usage trends, bugs, and feature requests
Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls
Document customer activity in accordance with internal and external security standards
Guide and mentor new team members on support processes and procedures
Contribute to product documentation, customer knowledge base articles, and best practice guides
Improve support processes, tools, and workflows in collaboration with the broader team
Participate in a periodic on-call rotation for production-down issues
What we’re looking for
Based in the US West Coast timezone
5+ years of customer support engineering experience, or a comparable customer-facing technical role, preferably with critical software products
5+ years of experience supporting enterprise customers
2+ years of experience diagnosing production network connectivity and performance issues
Strong problem-solving, analytical, and troubleshooting skills
Clear, thoughtful communication skills, both verbal and written
Experience with Terraform
Experience with major cloud platforms, distributed systems, microservices architecture, and containerization technologies such as Kubernetes
Experience with a scripting language, such as Bash, Python, or Ruby, to automate reproduction environments and support workflows
Ability to read complex code for troubleshooting
Experience with GitHub
Experience with REST APIs and command line tools
Strong organization, attention to detail, and ability to learn new technologies quickly
Experience working in a startup environment
A customer-first mindset and a strong instinct for automation, process improvement, and efficient resolution strategies
Bonus tacos if you have
DevOps Engineering, Software Engineering, or Systems Administration experience
Software-defined networking experience, such as Tailscale
Experience supporting engineering teams and the tools they use every day
About Coder
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.
Interview process
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.
AI use during the interview process
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.
Not permitted: Using AI assistance during conversational interviews.
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.
Our use of AI in hiring
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 careers@coder.com.
Coder is a proud Equal Opportunity Employer
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
How we rate this
Senior Customer Support Engineer at Coder rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Terraform hands-on?
- Walk me through how you've used Kubernetes in your day-to-day work.
- What are the limits of Bash that you've run into, and how did you work around them?
- What's a project where you used Python hands-on?
- Walk me through how you've used Ruby in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Terraform, Kubernetes, Bash, Python, and Ruby. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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