Mid-Senior DevOps Engineer

Posted 2 Days Ago
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Hiring Remotely in Bogotá, Distrito Capital, COL
In-Office or Remote
Senior level
Agency • Artificial Intelligence • Software • Automation
The Role
Design, build, and maintain scalable GCP infrastructure with Terraform; manage GKE, CloudSQL, Pub/Sub, networking, and IAM; implement CI/CD with Azure DevOps and ArgoCD; integrate GraphQL APIs; create Grafana dashboards and alerts; support SOC 2 controls and collaborate with developers and SREs to improve deployment reliability, security, and cost efficiency.
Summary Generated by Built In

We are looking for a Mid–Senior DevOps Engineer to join our operations and platform team. The ideal candidate is a builder with strong experience in Terraform and cloud infrastructure (GCP), a solid understanding of CI/CD pipelines (Azure DevOps, ArgoCD), and familiarity with modern monitoring/observability tools (Grafana, Prometheus, Cloud Monitoring).
This role is highly collaborative, working with developers, security, and operations to ensure reliable deployments, secure environments, and compliance with SOC 2 requirements.

Responsibilities

  • Design and maintain scalable cloud infrastructure with Terraform (modules, workspaces, state management).

  • Implement and manage resources such as GKE, CloudSQL, Pub/Sub, networking, and IAM with a security-first mindset.

  • Build and improve deployment workflows using Azure DevOps pipelines and ArgoCD for GitOps-based delivery.

  • Work with GraphQL APIs for service integration and automation.

  • Create dashboards, alerts, and metrics in Grafana and integrate with cloud monitoring systems.

  • Support SOC 2 controls in day-to-day operations (logging, access controls, backup, monitoring evidence).

  • Partner with developers and SREs to improve deployment speed, reliability, and cost efficiency.

  • 3–5 years in DevOps, Site Reliability, or Cloud Engineering.

  • Proven experience with Terraform (HCL modules, versioning, remote state, CI/CD integration).

  • Hands-on with Google Cloud Platform (IAM, networking, Kubernetes/GKE, CloudSQL, Cloud Storage).

  • Working knowledge of Azure DevOps pipelines (YAML builds, release workflows, secrets management).

  • Practical exposure to ArgoCD (application sync, GitOps principles, rollback strategies).

  • Basic to intermediate understanding of GraphQL (queries, mutations, schema awareness).

  • Monitoring skills with Grafana (dashboards, alerts, data sources).

  • Familiarity with SOC 2 operational practices (audit evidence, monitoring controls, access management).

Nice to Have

  • Knowledge of Prometheus or other time-series DBs.

  • Experience with multi-cloud (AWS, Azure in addition to GCP).

  • Familiarity with container security tools (Trivy, Aqua, etc.).

  • Background in incident response or SRE best practices.

PLEASE SUBMIT YOUR RESUME IN ENGLISH

Skills Required

  • 3-5 years in DevOps, Site Reliability, or Cloud Engineering
  • Proven experience with Terraform (HCL modules, versioning, remote state, CI/CD integration)
  • Hands-on experience with Google Cloud Platform (IAM, networking, Kubernetes/GKE, Cloud SQL, Cloud Storage, Pub/Sub)
  • Working knowledge of Azure DevOps pipelines (YAML builds, release workflows, secrets management)
  • Practical exposure to ArgoCD and GitOps delivery (application sync, rollback strategies)
  • Basic to intermediate understanding of GraphQL (queries, mutations, schema awareness)
  • Monitoring and observability with Grafana and cloud monitoring systems (dashboards, alerts, metrics)
  • Familiarity with SOC 2 operational practices (logging, access controls, backup, monitoring evidence)
  • Knowledge of Prometheus or other time-series DBs
  • Experience with multi-cloud (AWS, Azure) in addition to GCP
  • Familiarity with container security tools (Trivy, Aqua, etc.)
  • Background in incident response or SRE best practices
  • Resume submitted in English
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The Company
0 Employees

What We Do

Primework AI is an agency that builds AI-powered automation systems, websites, and workflows designed to save time and increase revenue. They specialize in optimizing business operations by implementing AI-driven lead capture and follow-up systems, allowing business owners to reclaim time and eliminate lost leads through efficient, autopilot-driven workflows.

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