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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud DevOps Engineer (GCP) based in Ireland.
In this role, you will be responsible for building, automating, and securing a modern cloud infrastructure centered on Google Cloud Platform. You will design and maintain scalable DevOps pipelines and cloud-native environments that support high-performance applications and data workflows. Working in a fast-paced, product-driven environment, you will collaborate closely with development, security, and data teams to ensure reliability, scalability, and operational excellence. You will take ownership of infrastructure-as-code, CI/CD automation, and Kubernetes-based deployments while continuously improving system resilience and deployment efficiency. This role is ideal for engineers who enjoy hands-on infrastructure work, automation at scale, and solving complex cloud engineering challenges. Your contributions will directly impact the stability and performance of mission-critical cloud systems.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
In this role, you will be responsible for building, automating, and securing a modern cloud infrastructure centered on Google Cloud Platform. You will design and maintain scalable DevOps pipelines and cloud-native environments that support high-performance applications and data workflows. Working in a fast-paced, product-driven environment, you will collaborate closely with development, security, and data teams to ensure reliability, scalability, and operational excellence. You will take ownership of infrastructure-as-code, CI/CD automation, and Kubernetes-based deployments while continuously improving system resilience and deployment efficiency. This role is ideal for engineers who enjoy hands-on infrastructure work, automation at scale, and solving complex cloud engineering challenges. Your contributions will directly impact the stability and performance of mission-critical cloud systems.
Accountabilities
- Design, build, and maintain scalable cloud infrastructure on Google Cloud Platform (GCP), ensuring reliability, security, and performance.
- Manage and optimize Kubernetes environments using GKE for production workloads.
- Develop and maintain Infrastructure as Code using Terraform to enable consistent and automated provisioning.
- Build, maintain, and improve CI/CD pipelines to support fast and reliable software delivery.
- Implement and manage Apache Airflow workflows, including DAG development and orchestration of data pipelines.
- Ensure strong security practices including secrets management, RBAC, and audit logging across cloud environments.
- Collaborate with engineering, data, and security teams to support application deployment and operational needs.
- Develop automation scripts in Python, Bash, or PowerShell to streamline infrastructure and operational tasks.
- Monitor system performance and contribute to incident response, troubleshooting, and continuous improvement initiatives.
- 4+ years of experience in DevOps, SRE, or Cloud Engineering roles.
- Strong hands-on experience with Google Cloud Platform (GCP) in production environments.
- Proven experience working with Kubernetes and GKE in production-scale systems.
- Solid experience with Apache Airflow, including DAG development and workflow orchestration.
- Strong proficiency in Infrastructure as Code using Terraform.
- Deep understanding of CI/CD pipelines and modern DevOps practices.
- Experience implementing cloud security best practices such as IAM, RBAC, secrets management, and audit logging.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Strong problem-solving skills and ability to work in fast-paced, high-ownership environments.
- Good command of English for collaboration in international teams.
- Experience with Azure and/or AWS is a plus.
- Familiarity with CloudFormation or Bicep is considered an advantage.
- Competitive compensation package.
- Opportunity to work on a modern, GCP-centric cloud infrastructure at scale.
- Fast-paced startup environment with high technical ownership.
- Fully collaborative work culture involving engineering, security, and data teams.
- Exposure to advanced cloud-native technologies, Kubernetes, and workflow orchestration tools.
- Professional growth opportunities in cloud architecture, DevOps, and platform engineering.
- Flexible working environment with autonomy and responsibility.
- Chance to contribute to highly secure and mission-critical cloud systems.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
Ranked by relevance
cloud
devops
kubernetes
gcp
google cloud platform
cicd
infrastructure as code
python
apache
bash
artificial intelligence
security practices
incident response
cloud security
cloudformation
powershell
terraform
ai tools
bicep
gdpr
aws
ai
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- Posted
- Jun 19, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Ireland
- Company
- Jobgether
Industries
Internet Marketplace Platforms
Categories
Engineering
Information Technology
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