Senior SRE — Sovereign AI Platform & Reliability

YTL AI Labs; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

YTL AI Labs is seeking a Senior Site Reliability Engineer to ensure the reliability, scalability, and operational integrity of our sovereign AI platform. You will own critical services, drive observability, and contribute to GPU-inference infrastructure while maintaining data residency and security standards.

Working within Platform & Infrastructure, you’ll mentor engineers, participate in on-call incidents, and advance CI/CD, IaC, and deployment patterns to keep production healthy at scale in

Qualifications

• Five or more years in software or infrastructure engineering on production systems.
• Proven track record of improving reliability and operability of distributed systems, with SLOs, observability, and incident response.
• Solid working knowledge of cloud infrastructure, Kubernetes, networking, identity, and security fundamentals, with hands-on exposure to GPU-backed or compute-intensive workloads.
• Proficiency in at least one systems or scripting language (Python, Go, or equivalent) and experience building internal tooling and automation.
• Experience with modern AI platform operations, including inference infrastructure and reliability/cost challenges for LLM workloads.
• Habit of driving reliability issues to root cause and delivering lasting fixes rather than workarounds.
• Ability to communicate operational risk and system health clearly to engineering and non-engineering audiences.

Responsibilities

• Own SLOs, error budgets, and alerting for one or more critical services.
• Build observability across metrics, logging, distributed tracing, and synthetic monitoring.
• Join the on-call rotation, help run incidents, and drive blameless post-incident actions to closure.
• Build automation that cuts time to detection and recovery.
• Improve infrastructure-as-code, CI/CD, and deployment patterns, with proper testing and rollback.
• Support multi-tenant, sovereign-capable deployments with data residency and network isolation requirements.
• Contribute to capacity planning and cost optimisation for GPU inference infrastructure.
• Keep owned services secure: identity, secrets, patching, and container and Kubernetes hardening.
• Embed reliability into designs early and mentor junior and mid-level engineers.

Skills

SRE/infra experience

Observability & incident response

Kubernetes

Cloud infrastructure

Python/Go scripting

AI platform operations

Root cause analysis

Communication

Tools

CI/CD tooling

GPU inference infrastructure

Job description

YTL AI Labs is seeking a Senior Site Reliability Engineer to ensure the reliability, scalability, and operational integrity of our sovereign AI platform. You will own critical services, drive observability, and contribute to GPU-inference infrastructure while maintaining data residency and security standards.

Working within Platform & Infrastructure, you’ll mentor engineers, participate in on-call incidents, and advance CI/CD, IaC, and deployment patterns to keep production healthy at scale in