Support Engineer (AI)

TL;DR

Support Engineer (AI/Kubernetes): Resolving technical issues for developers using a code intelligence platform with an accent on troubleshooting containerized environments and AI tooling. Focus on improving product documentation, analyzing customer trends, and collaborating cross-functionally to resolve complex technical problems.

Location: Remote (Global). Expected working hours: 9:00am - 5:00pm EST

Salary: $84,800 USD base

Company

hirify.global is a powerful code intelligence platform that enables developers and agents to navigate and operate on massive, complex codebases with speed and confidence.

What you will do

• Troubleshoot and solve reported technical issues for developer customers.
• Collaborate with cross-functional teams to resolve difficult customer problems.
• Contribute to product and handbook documentation to improve self-service.
• Analyze trends in customer issues to suggest tooling or product remedies.
• Take responsibility for improvements in team onboarding and the overall customer experience.

Requirements

• 2+ years of experience in a similar technical support role.
• Experience with Unix/Linux, Bash, and Kubernetes containerized solutions.
• Proficiency with code hosts such as GitHub, GitLab, and BitBucket, as well as Git.
• Strong understanding of databases, especially SQL.
• Foundational knowledge of cloud computing (AWS, GCP, or Azure) and APIs.
• Ability to work 9:00am - 5:00pm EST and communicate complex technical ideas to diverse audiences.

Nice to have

• Experience writing code in Go or another language.
• Basic knowledge of Perforce.
• Experience using Large Language Models (LLMs) and AI tooling.

Culture & Benefits

• Competitive above-market salary regardless of residential location.
• Equity options in the company.
• Full flexibility to work and live anywhere in the world.
• Generous perks and benefits package.
• Culture of high agency and direct communication.

Hiring process

• Introduction stage: Recruiter screen followed by a Hiring Manager screen.
• Technical stage: Async technical project and a technical troubleshooting/collaboration interview.
• Final stage: Values interview, leadership check, and background/reference check.