Live opening · Posted 8 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
This is a Fully Remote Job
About Our Client:
The organization operates within the digital experience innovation industry, addressing challenges in transforming customer experiences across industries. It blends data, AI, creativity, and technology to deliver digital transformation solutions at scale for leading global brands.
About the Opportunity:
The LEAD CLOUD ENGINEER role focuses on designing, deploying, and managing secure Google Cloud Platform (GCP) infrastructure to support innovative digital solutions. This position plays a key role in enhancing cloud architecture, automation, and operational efficiency, contributing directly to the organization's ability to deliver advanced customer experiences.
Responsibilities:
Design, deploy, and manage secure GCP infrastructure using Terraform with reusable modules and environment promotion.
Build and maintain CI/CD pipelines for infrastructure changes including code review and automated validation.
Design and operate cloud networking components such as VPCs, subnets, firewall rules, Cloud NAT, DNS, and load balancing.
Establish hybrid connectivity with Cloud VPN or Cloud Interconnect and manage shared networking.
Apply IAM policies for least privilege access, organization policies, service accounts, and secrets management.
Set up monitoring, logging, and alerting using Google Cloud Operations Suite, Prometheus, or Grafana.
Improve availability, performance, cost efficiency, and support incident response and root cause analysis.
Automate operational tasks using Python or Bash.
Utilize AI assistants like Gemini and Claude to develop and review infrastructure code and support documentation.
Establish infrastructure standards, conduct change reviews, and mentor engineers.
Collaborate with application, security, and delivery teams, and document designs and runbooks.
Requirements:
Minimum 7 years in cloud or infrastructure engineering with at least 3 years hands-on experience in Google Cloud Platform.
Expert-level skills in GCP infrastructure and networking, including VPC design, firewalls, load balancing, DNS, shared VPC, and VPN or Interconnect.
Proficiency with Terraform for infrastructure as code.
Working knowledge of core GCP services such as Compute Engine, GKE, Cloud Storage, and IAM.
Experience with CI/CD tools and scripting in Python or Bash.
Experience designing landing zones, resource hierarchy, and governance on GCP.
Familiarity with AI-native delivery, using AI assistants like Gemini and Claude for code development and automation.
Experience mentoring or guiding technical teams.
Strong communication skills and collaborative work style.
Nice to have:
Google Cloud certifications such as Professional Cloud Architect, DevOps Engineer, or Network Engineer.
HashiCorp Certified: Terraform Associate.
Experience with data center to GCP migrations.
Kubernetes (GKE) operational experience.
Experience with observability tools such as Cloud Operations Suite, Prometheus, and Grafana.
Pay Range and Compensation Package:
Salary range between 115,000 to 130,000 USD annually, depending on experience and location.
Benefits & Perks:
Flexibility with remote and hybrid work options depending on location.
Career advancement opportunities including international mobility and professional development.
Access to training, industry experts, and cutting-edge tools.
Medical, dental, and vision insurance for employees and their families, plus employer contributions to Health Savings Accounts.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
Work arrangement
Yes
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