Customer Engineer (Golang)

Location: Argentina

Company

hirify.global is building Computer, an AI-native platform that unifies data sources, tools, and workflows to support human-AI collaboration and agentic actions.

What you will do

• Own deep technical expertise in a product area such as integrations, workflows, search/AI, or the platform.
• Resolve complex customer platform bugs through code-level investigation and permanent fixes.
• Build, test, and deploy customer-facing features and enhancements.
• Investigate logs, queries, API behavior, and service interactions across distributed systems and microservices.
• Participate in on-call rotations, triage customer-impacting incidents, and lead mitigation efforts.
• Document fixes, post-incident learnings, and playbooks in Computer to prevent recurrence.

Requirements

• 3–5 years of hands-on software engineering experience.
• Production-grade backend development experience in a backend language; Golang is strongly preferred.
• Experience in Customer Engineering, Sustenance/L4 engineering, or an equivalent customer-facing support engineering team.
• Strong debugging, logging, observability, and distributed-systems skills, with familiarity with tools such as Grafana, Datadog, or Kibana.
• Experience writing postmortems, root-cause documentation, and reliability or incident reports.
• Comfort with on-call responsibilities and explaining technical causes and fixes to customer engineering and administrator stakeholders.

Nice to have

• Deep expertise in integrations, workflows, search/AI, or platform products.
• Experience with multi-tenant SaaS systems.
• Working knowledge of frontend concepts and SPA frameworks, preferably React.
• Experience with AI-assisted development tools such as Cursor or Claude.

Culture & Benefits

• Customer Engineering works inside the Customer Experience organization and is prioritized by customer impact.
• Customer Outcomes owns relationship and account management, while Customer Engineering owns the technical relationship.
• Computer provides L1–L4 diagnosis support and captures fixes, edge cases, and incident knowledge for future automation.
• The role contributes directly to product feedback and collaboration with core Engineering and Product teams.