Senior AI-Native Infra & Reliability Engineer (Remote)

IgniteTech

United Arab Emirates

On-site

AED 250,000 - 400,000

Full time

14 days+

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Benefits offered by this job

Fully remote

Job summary

IgniteTech is building an AI-native Infrastructure & Reliability platform. We seek a Senior Infrastructure & Reliability Engineer to own production reliability and advance AI agents that automate incident response, workflows, and infrastructure management.

You will deploy changes with discipline, write automation, and improve uptime and customer experience while operating across an enterprise SaaS stack in a remote, global team.

Qualifications

  • 5+ years operating enterprise SaaS platforms in Infrastructure, Platform Engineering, DevOps, Cloud Operations, or SRE.
  • Hands-on engineer who enjoys troubleshooting complex production systems and writing automation.
  • Strong AWS production experience, including large-scale cloud infrastructure and incident response.
  • Experience with AI engineering tools such as Claude Code, Codex, Cursor, Warp or similar.

Responsibilities

  • Own production reliability, responding to and resolving customer-impacting incidents.
  • Build and improve AI agents for incident triage, change validation, RCA generation, and auto-remediation.
  • Execute production deployments and infrastructure changes with strong operational discipline.
  • Write production code, automation, runbooks, and AI workflows that eliminate repetitive operational work.
  • Continuously improve platform uptime, operational efficiency, and customer experience.

Skills

Enterprise SaaS
Infrastructure
DevOps
Cloud Operations
Site Reliability Engineering

Tools

Claude Code
Codex
Cursor
Warp

Job description

IgniteTech is building an AI-native Infrastructure & Reliability platform. We seek a Senior Infrastructure & Reliability Engineer to own production reliability and advance AI agents that automate incident response, workflows, and infrastructure management.

You will deploy changes with discipline, write automation, and improve uptime and customer experience while operating across an enterprise SaaS stack in a remote, global team.

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