# DevOps / SRE Engineer - AI Platform

**Company:** [Makro PRO](http://jobs.workable.com/companies/1cWkogd8purSPWZfcuHmCe.md)
**Location:** Nawamin Road, Thailand
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Technology

[Apply for this job](http://jobs.workable.com/view/eeb4cb95-9617-4141-84cb-6f3d9a63d5f2)

## Description

The DevOps / SRE Engineer owns the operational substrate of an AI-native retail decisioning platform — infrastructure, CI / CD, observability, cost meter, and incident response for a system that runs production agents taking real business actions. The role builds on the enterprise Terraform standard, CI / CD spine, and FinOps tagging policy rather than reinventing parallel infrastructure. 

**Remote candidates outside of Thailand are welcome to apply.**

### **Key Responsibilities:**

-   Adopt the enterprise Terraform standard and module library for all platform infrastructure; author platform-specific modules where needed (agent runtime, vector DB, knowledge graph); run drift detection weekly. 

-   Build platform-specific CI / CD pipelines on the enterprise spine — service deploys, agent deploys, eval-gate enforcement; integrate eval gates so no agent reaches production without eval pass. 

-   Operate rollback orchestration with sub-15-minute recovery; quarterly game days. 

-   Own the platform observability stack — OpenTelemetry, Langfuse for LLM traces, custom dashboards for per-agent cost. 

-   Implement the per-agent cost meter end-to-end — token counts, vector queries, model inference, downstream LLM Gateway costs; surface cost data to the enterprise GenAI cost dashboard. 

-   Stand up the platform on-call rotation; author runbooks for every production agent and service; lead incident response with measurable corrective actions. 

-   Implement platform cost-tagging policy consistent with the enterprise standard (team, domain, environment, project, agent, suite, persona); report monthly to Cost Review. 

-   Drive cost optimisation — right-sizing, caching, model routing decisions, reserved compute.

## Requirements

-   Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. 

-   5+ years SRE / DevOps with production ownership. 

-   Terraform at scale — modules, state, drift, environment promotion. 

-   CI / CD for data + ML / AI services (GitLab CI / CD or comparable). 

-   Cloud platform (Azure preferred; AWS / GCP transferable). 

-   Observability — OpenTelemetry, Langfuse (or comparable LLM traces), custom dashboards. 

-   FinOps — tagging policies, attribution, optimisation. 

-   Incident response — on-call, post-mortems, runbook authorship. 

**Preferred Qualifications**

-   AI / agent platform SRE experience; cost-meter / chargeback systems built or operated. 

-   Multi-cloud production experience; open-source contributions to IaC / observability tooling. 

-   AI / ML / agent system observability instrumentation (LLM cost, agent cost, eval scores). 

-   Vendor certifications such as HashiCorp Terraform Associate / Professional, Azure Solutions Architect Associate, or Databricks Data Engineer Professional.