GCP DevOps Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GCP DevOps Engineer in United States.

This role is a high-impact opportunity for a cloud infrastructure and DevOps specialist passionate about building scalable, secure, and highly automated engineering platforms. You will help design and evolve modern CI/CD and cloud-native delivery systems on Google Cloud Platform, enabling engineering teams to ship software faster and more reliably. The position sits at the intersection of infrastructure, automation, security, and developer experience, with a strong focus on improving operational excellence across distributed systems. You will play a key role in advancing DevSecOps practices, strengthening platform reliability, and enabling consistent deployment workflows across microservices architectures. Working in a highly technical, collaborative environment, you will influence how engineering teams build, release, and operate software at scale. This role is ideal for someone who enjoys solving complex infrastructure challenges while enabling developer productivity and platform maturity.

Accountabilities

• Design, build, and maintain scalable GCP infrastructure using Infrastructure as Code (Terraform) and cloud-native automation practices.
• Develop and optimize CI/CD pipelines using tools such as Cloud Build, GitHub Actions, Jenkins, and related deployment systems.
• Manage and enhance GCP delivery workflows, including artifact management, deployment triggers, service accounts, and release approvals.
• Collaborate with engineering teams to improve build, release, and deployment processes across cloud-native and microservices applications.
• Implement observability solutions using Google Cloud Operations Suite, including logging, monitoring, alerting, and telemetry.
• Strengthen platform security through secrets management, IAM best practices, vulnerability scanning, and policy enforcement.
• Manage Kubernetes-based environments (GKE), including container orchestration, Helm deployments, and cluster optimization.
• Drive reliability engineering practices such as incident response, root cause analysis, SLO definition, and automated remediation.
• Develop reusable infrastructure modules, templates, and platform patterns to improve consistency and developer productivity.
• Provide technical leadership and mentorship on GCP architecture, DevOps best practices, and platform engineering standards.

Requirements

• Strong experience in DevOps, Site Reliability Engineering, or Platform Engineering roles supporting cloud-native environments.
• Deep hands-on expertise with Google Cloud Platform (GCP), including compute, networking, IAM, storage, and security services.
• Proven experience designing and maintaining CI/CD pipelines for multiple application and deployment environments.
• Strong proficiency with Infrastructure as Code tools, especially Terraform.
• Solid experience with Kubernetes (preferably GKE), Docker, and containerized application deployments.
• Strong scripting skills in Python, Bash, PowerShell, or similar languages for automation.
• Experience with observability tools including logging, monitoring, dashboards, and alerting systems.
• Strong understanding of cloud security principles, including IAM, secrets management, and compliance controls.
• Experience with Git-based workflows, artifact management, and release automation strategies.
• Excellent communication and collaboration skills, with the ability to influence technical decisions across teams.
• Experience in software supply chain security, DevSecOps, or enterprise-scale environments is a plus.

Benefits

• Competitive compensation aligned with industry benchmarks.
• Flexible work arrangements supporting remote collaboration.
• Comprehensive health, dental, and vision insurance coverage.
• Paid time off, parental leave, and volunteer time off.
• Learning and development opportunities, including technical training and certifications.
• Inclusive and diverse work culture with employee resource groups and community initiatives.
• Exposure to cutting-edge DevSecOps, cloud security, and platform engineering practices.
• Opportunity to work on large-scale systems impacting millions of developers globally.

How Jobgether works:

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.