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DevOps / SRE (ARIP) - CP Axtra

Posted about 2 months ago

OfficeNawamin Road, Krung Thep Maha Nakhon Bangkok, Thailand

Own ARIP's operational substrate — infrastructure-as-code (on Data Engineering & Advanced Analytic (DEAA's) Terraform standard), CI/CD pipelines with eval-gate

enforcement, per-agent observability, per-agent cost meter, FinOps, and incident response. Inherit production environment from

Databricks contractor in Q1 2027 and harden it for Wave 3 scale across 15 agents and 5 suites.

Remote candidates outside of Thailand are welcome to apply.

Key Responsibilities:

  • Adopt DEAA's Terraform standard for all ARIP infrastructure; author ARIP-specific modules (agent runtime, vector DB, KG database); weekly drift detection — zero unmanaged production resources
  • Build ARIP CI/CD pipelines on DEAA's spine with eval-gate enforcement — no agent reaches production without eval-pass; ≤1hr deployment lead time, ≤15min rollback time
  • Implement per-agent cost meter end-to-end (LLM tokens, vector DB queries, model inference) and surface to DEAA's GenAI Cost Dashboard (DTB-51)
  • Stand up ARIP on-call rotation; author runbooks for every production agent and service; lead incident response; MTTR < 60min for P0/P1
  • Implement ARIP cost tagging policy (team / domain / environment / agent / suite / persona) aligned with DEAA's standard; report monthly to ARIP Cost Review
  • Execute Databricks contractor hand-over in Q1 2027: inherit IaC, runbooks, observability; refactor to Lotus's standards.

Requirements

  • 5+ years SRE / DevOps with production ownership of AI / data-intensive or agent-based platforms
  • Terraform at enterprise scale: modules, state management, drift detection, environment promotion — expert; Terraform Associate / Professional preferred
  • CI/CD for ML/AI services: GitLab CI/CD or comparable with eval-gate integration; cloud (Azure preferred); AZ-500 helpful
  • OpenTelemetry + Langfuse (or equivalent) for LLM observability in production; FinOps: tagging policies, per-invocation cost attribution for LLM systems
  • Incident response: on-call, post-mortems, runbook authorship at senior level; rollback orchestration with quarterly game days
  • Calibre: Senior DevOps / SRE from Agoda, Grab, Shopee, LINE MAN Wongnai, SCBX, KBank, or AI-native infra teams.
Job details
Workplace
Office
Location
Nawamin Road, Krung Thep Maha Nakhon Bangkok, Thailand
Industry
Retail
Headquarters
Dourados, Ms
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