Support Engineer (AI)

TL;DR

Support Engineer (AI): Troubleshooting and solving technical issues for a code intelligence platform with an accent on Kubernetes, cloud infrastructure, and AI tool integration. Focus on identifying product improvements, educating developers, and resolving complex technical bottlenecks.

Location: Must be based in Europe, the Middle East, or Africa (EMEA) with significant working hours overlap with the UK

Salary: $42,400 USD base

Company

hirify.global is a world-leading code intelligence platform that empowers developers to navigate and understand massive, complex codebases using AI-powered search and analysis.

What you will do

• Troubleshoot and resolve reported technical issues for developer customers.
• Contribute to the improvement of product and handbook documentation.
• Observe issue trends to suggest tooling remedies and product enhancements.
• Collaborate with cross-functional teams to solve difficult customer problems.
• Improve team onboarding and ongoing enablement to enhance customer experience.

Requirements

• Based in Europe, the Middle East, or Africa (EMEA).
• 2+ years of experience in a similar technical support role.
• Working experience with Unix/Linux, Bash, and Kubernetes containerized solutions.
• Strong understanding of SQL databases and experience with code hosts like GitHub, GitLab, or BitBucket.
• Foundational knowledge of APIs, Git, and cloud computing (AWS, GCP, or Azure).
• Proficiency in communicating complex technical ideas to both technical and non-technical audiences.

Nice to have

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

Culture & Benefits

• Globally distributed team that values high agency and direct communication.
• Competitive and transparent compensation regardless of location.
• Equity packages to ensure shared success.
• Generous perks and benefits as outlined in the company handbook.

Hiring process

• Introduction stage: Initial recruiter screen and hiring manager screen.
• Technical stage: Resume deep dive, async technical project, and a technical troubleshooting/collaboration interview.
• Final stage: Values interview, leadership check, and background/reference checks.