Remote DevOps Lead: GCP, Kubernetes & CI/CD Expert

Truelogic Software

Colombia

Presencial

COP 376.530.000 - 564.794.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

100% Remote
USD Pay
Paid Time Off
Autonomy
US Clients

Descripción de la vacante

Truelogic Software is seeking a DevOps Lead to design, build, and operate cloud infrastructure centered on Google Cloud Platform (GCP). You will work with Terraform, Kubernetes (GKE), and modern CI/CD practices using GitHub Actions and Jenkins, while maintaining a hybrid infrastructure with legacy systems.

You will collaborate with Data Engineering and external partners to improve reliability, security, and cost-efficiency across dev, staging, and production environments.

Formación

  • 6+ years in DevOps, Cloud Infra, SRE, or Platform Engineering.
  • Strong hands-on GCP experience; AWS/Azure valued if ramping on GCP.
  • Terraform IaC, state management, drift detection.
  • Production Kubernetes (GKE) experience.
  • CI/CD pipelines with GitHub Actions, Jenkins, or similar.
  • Cloud networking, IAM, security, infra automation.

Responsabilidades

  • Design, build, and operate cloud infrastructure on GCP using Terraform.
  • Manage Kubernetes environments (GKE) for scalability and reliability.
  • Build/maintain CI/CD pipelines with GitHub Actions and Jenkins.
  • Monitor infrastructure health with observability, logging, alerting, and incident response.
  • Collaborate with Data Engineering to support data platforms and pipelines.

Conocimientos

GCP
Terraform
Kubernetes
CI/CD
Scripting
IAM Security
Hybrid Cloud

Herramientas

GitHub Actions
Jenkins
Snowflake
BigQuery

Descripción del empleo

Truelogic Software is seeking a DevOps Lead to design, build, and operate cloud infrastructure centered on Google Cloud Platform (GCP). You will work with Terraform, Kubernetes (GKE), and modern CI/CD practices using GitHub Actions and Jenkins, while maintaining a hybrid infrastructure with legacy systems.

You will collaborate with Data Engineering and external partners to improve reliability, security, and cost-efficiency across dev, staging, and production environments.

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