Senior GCP CloudOps Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GCP CloudOps Engineer based in United States.

Join a high-impact Platform Engineering team responsible for building and operating a secure, scalable, and resilient Google Cloud Platform environment that supports critical business applications. This senior-level role combines technical leadership with hands-on cloud operations, enabling you to shape infrastructure strategy, improve reliability, and drive automation across production environments. You'll collaborate with engineering, security, and product teams to establish operational excellence while mentoring fellow engineers and championing cloud best practices. This is an excellent opportunity for an experienced GCP professional who thrives in fast-paced environments and enjoys solving complex infrastructure challenges while influencing the future of cloud operations.

Accountabilities:

• Lead the day-to-day operations of production Google Cloud Platform environments, ensuring high availability, reliability, and operational excellence across cloud infrastructure.
• Design, implement, and optimize monitoring, observability, alerting, and incident response processes while driving root cause analysis and continuous service improvements.
• Build and maintain infrastructure automation using Infrastructure as Code and scripting technologies to improve scalability, efficiency, and operational consistency.
• Develop operational standards, documentation, runbooks, and best practices that support long-term platform reliability and knowledge sharing.
• Partner with engineering, architecture, and security teams to implement secure, scalable cloud solutions while embedding operational readiness into new services.
• Establish cloud governance practices including capacity planning, cost optimization, resource management, and security controls aligned with compliance requirements.
• Evaluate emerging cloud technologies and recommend platform enhancements that improve performance, scalability, and long-term operational efficiency.
• Mentor junior engineers, promote technical excellence, and foster a collaborative culture focused on continuous learning and operational maturity.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
• 5+ years of experience in cloud operations, infrastructure engineering, or similar roles, including at least 4 years managing production Google Cloud Platform environments.
• Strong expertise with core GCP services including GKE, Compute Engine, Cloud SQL, Cloud Storage, IAM, VPC networking, Cloud Monitoring, and Cloud Logging.
• Hands-on experience with Infrastructure as Code tools such as Terraform and automation using Python, Go, or Bash.
• Solid understanding of Kubernetes, Docker, CI/CD pipelines, GitOps practices, and cloud-native deployment methodologies.
• Experience leading incident response, conducting root cause analysis, and implementing observability and performance monitoring solutions.
• Knowledge of cloud networking, security best practices, identity management, cost optimization, and compliance-focused cloud architectures.
• GCP certifications such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Cloud Security Engineer are highly valued.
• Strong communication, analytical thinking, mentoring abilities, and the capacity to perform effectively in fast-paced, production-critical environments.

Benefits

• Competitive annual salary ranging from $125,000 to $150,000 , based on experience, skills, and qualifications.
• Comprehensive medical, dental, vision, life, and disability insurance coverage.
• 401(k) retirement savings plan.
• Paid family leave.
• Generous paid time off (17–27 days annually based on tenure) plus 9 paid holidays.
• Fully remote work environment with virtual interview process.
• Opportunities for professional growth, technical leadership, and continuous learning.
• Collaborative culture focused on innovation, cloud excellence, and engineering best practices.

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!

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 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.