Overview

emater is a profitable multi-brand direct-to-consumer e-commerce group on a growth path toward $100M. The engine of that growth is an AI and automation platform — production LLM agents, a cross-brand BigQuery data warehouse, and workflow automation — and that platform needs ground to stand on. We are hiring the engineer who builds that ground: a governed Google Cloud foundation, real cloud security, and a modern software delivery lifecycle for the whole engineering team.

Responsibilities:
  • Build the governed GCP foundation — project and environment structure, IAM with least privilege, service accounts, secret management, logging, monitoring and alerting, budgets and cost discipline
  • Migrate production workloads onto company cloud — including the AI agent runtime — off single-person and single-machine dependencies and legacy self-managed servers, without disrupting the live daily workflows the team depends on
  • Own cloud security — one accurate, current access map, secrets handling, audit logging, network posture, backup and disaster recovery with tested restores, and incident-response basics the team can actually follow
  • Build the SDLC end to end — CI/CD on the company’s GitHub organizations, environment strategy, branch and release discipline, automated testing integration with QA, and AI-assisted code review in the pipeline
  • Stand up and operate the AI platform’s infrastructure — the containerized agent runtime, a self-hosted open-source agent memory service, and, as the platform matures, a model gateway for per-agent cost attribution and budgets
  • Support the data platform’s operations — access, cost, and monitoring posture for the BigQuery warehouse, alongside the data engineer who owns its content
  • Document as you go — infrastructure as code as the primary documentation, plus runbooks the rest of the team can operate from
Required Qualifications:
  • 8+ years in DevOps / platform / infrastructure engineering, with production systems you built and operated yourself
  • Deep GCP experience — this is a must: IAM and access governance, Cloud Run, Secret Manager, Cloud Monitoring and Logging, cost management
  • AWS experience as well — we run on GCP, but we want an engineer fluent in more than one cloud who chooses tools on merit
  • Cloud security depth: least-privilege design, secrets and key management, audit logging, network security, backup/DR
  • SDLC construction from scratch: you have built CI/CD pipelines, environment strategies, and release processes where none existed — and brought a team along with you
  • Infrastructure as code and solid Linux administration
  • Scripting fluency and comfort with Docker and containerized workloads
  • Working proficiency in English
  • Knowledge of Armenian is a bonus
Nice To Have:
  • BigQuery operations a strong plus
  • Exposure to LLM/AI platforms or agent infrastructure
  • E-commerce or Shopify context
  • Workflow tools
  • Looker
  • DevOps
  • Platform Engineering
  • Infrastructure Engineering
  • Cloud Security
  • Linux Administration
  • Scripting
Technologies:
  • GCP
  • AWS
  • BigQuery
  • Cloud Run
  • Secret Manager
  • Terraform
  • Python
  • Bash
  • Docker
  • PostgreSQL
  • Cloud SQL
  • GitHub
  • Shopify
  • n8n
  • Looker
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