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GCP DevOps Engineer (onsite)

Applaudo Studios


Job Location:

San Salvador - El Salvador

Monthly Salary: Not provided by the employer
Posted: 28 October 2026 (13 hours ago)
Application Deadline: 25 January 2027
Vacancies: 1 Vacancy

Job Summary

About You

You are a DevOps Engineer who builds secure efficient CI/CD pipelines and reusable infrastructure on Google Cloud Platform (GCP). You combine strong pipeline engineering with Terraform and container expertise and you operate core GCP services independently while helping development teams adopt standardized Golden Paths.

You thrive in environments where autonomy automation and collaboration are highly valued. You enjoy working side by side with developers removing friction from their delivery process and contributing to the goal of zero manual deployments and 100% infrastructure as code.

  • Note: This position is offered under a 3-month assignment (with the possibility of extension) and follows a hybrid model with 3 to 4 days per week on-site and 1 to 2 days remote Monday through Friday.

You Bring to Applaudo the Following Competencies:

  • Bachelors Degree in Computer Science Software Engineering Computer Engineering or a related field is desired or equivalent professional experience.
  • 3 years of hands-on experience in DevOps and cloud environments.
  • Intermediate to advanced experience building complex CI/CD pipelines with GitLab CI or GitHub Actions including testing security and multi-zone deployments.
  • Experience creating reusable Terraform modules aligned with team standards.
  • Hands-on experience operating GKE Cloud Run and Cloud SQL autonomously.
  • Experience with Docker and container strategy including image optimization.
  • Experience managing Artifact Registry including versioning and cleanup.
  • Experience integrating automated vulnerability scanning into CI pipelines (DevSecOps).
  • Strong communication skills to work closely with development teams.
  • Collaborative mindset and ability to work autonomously.
  • Working knowledge of English is required; Spanish will be the primary language of communication within the project.
  • HashiCorp Terraform Associate and Google Associate Cloud Engineer certifications are desired as well as Docker and container strategy training.

You Will Be Accountable for the Following Responsibilities:

  • Build complex CI/CD pipelines with integrated testing security and multi-zone deployments.
  • Create reusable Terraform modules for development teams.
  • Manage GKE Cloud Run and Cloud SQL with autonomy.
  • Integrate automated vulnerability scanning into pipelines as part of DevSecOps practices.
  • Reduce pipeline execution times through caching and parallelism.
  • Manage versioning and cleanup of Artifact Registry.
  • Support development teams in adopting Golden Paths.

Qualifications :

  • Hands-on experience with GitLab CI or GitHub Actions for complex multi-zone pipelines.
  • Experience with Terraform reusable modules and Docker container strategy.
  • Experience operating GKE Cloud Run Cloud SQL and Artifact Registry.
  • Experience integrating vulnerability scanning into CI (DevSecOps).

Additional Information :

About Us

We Are Engineered Different.

At Applaudo talented people design build and scale meaningful AI-powered solutions that create real business impact. As an AI-native organization we collaborate across design development cloud data and artificial intelligence to turn ideas into scalable products that transform how companies operate make decisions and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence Collaborative Teamwork Unsolicited Respect Consistent Transparency and Efficient Communication. These define how we work how we support one another and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast take ownership and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally investing in modern ways of working and leading AI-native transformation at scale.


Remote Work :

No


Employment Type :

Contract