GCP DevOps Engineer

About YouResponsible for designing, building, and optimizing scalable, secure, and reliable cloud infrastructure on Google Cloud Platform (GCP), this is a hands-on role focused on automation, CI/CD, and cloud-native solutions.

The position drives continuous improvement and efficiency while promoting DevOps best practices across teams, working closely with cross-functional stakeholders to ensure high-quality, reliable, and scalable product delivery.

You Bring to Applaudo the Following Competencies:Bachelor’s Degree in Computer Science, Software Engineering, or related field (or equivalent experience).5+ years of experience in DevOps, Cloud Engineering, or related roles.

Strong hands-on experience with GCP, including architecture and deployment of cloud-native solutions.

Proven experience working with Kubernetes in production environments.

Strong proficiency with Docker for containerization.

Hands-on experience with Infrastructure as Code using Terraform.

Solid experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins).

Strong knowledge of cloud networking, security, and IAM best practices in GCP.

Strong troubleshooting and problem-solving skills in complex cloud environments.

Familiarity with multi-cloud environments (AWS, Azure) is a plus.

Experience with Cloudflare is a plus.

Proficiency in English and Spanish.

You Will Be Accountable for the Following Responsibilities:Design, implement, and maintain scalable, reliable, and secure infrastructure solutions in GCP, ensuring high availability, performance, and optimal resource utilization.

Develop and manage Infrastructure as Code (IaC) using Terraform, creating reusable and standardized configurations to ensure consistency and scalability across environments.

Build, optimize, and maintain CI/CD pipelines to enable efficient, reliable, and automated application deployments.

Collaborate with development teams to streamline release processes and improve delivery speed and quality.

Containerize applications using Docker and manage orchestration through Kubernetes in production environments.

Ensure scalability, resilience, and reliability of containerized workloads.

Implement monitoring, logging, and alerting solutions to proactively maintain system health and performance.

Troubleshoot and resolve infrastructure and deployment issues, minimizing downtime and service disruption.

Apply and enforce cloud security best practices, including IAM management and secure networking configurations in GCP.

Ensure compliance with internal standards, governance, and best practices across infrastructure and pipelines.

Optimize cloud costs, performance, and overall system efficiency on an ongoing basis.

Work closely with cross-functional teams to deliver high-quality, reliable, and scalable solutions.

Support and guide teams in adopting DevOps practices and cloud-native approaches.

Participate in architecture discussions and contribute to technical decision-making.

Continuously improve processes, tools, and system performance.

Stay up to date with the latest trends and technologies in DevOps, Kubernetes, and GCP.

Qualifications5+ years of experience in DevOps, Cloud Engineering, or related roles.

Advanced English proficiency.

Experience working with GCP, Kubernetes, Docker and Terraform.

Additional InformationAbout UsWe 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.