> Markdown version of [/jobs/ext/4012708-cloud-engineer-google-cloud-platform](https://www.wearedevelopers.com/jobs/ext/4012708-cloud-engineer-google-cloud-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Engineer Google Cloud Platform - **Company:** Valtech - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $115,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Bash Shell, Cloud Computing, Cloud Engineering, Cloud Storage, Code Review, Continuous Integration, Data Centers, DevOps, Domain Name System (DNS), Identity and Access Management, Subnetting, Virtual Private Networks (VPN), Python (Programming Language), Key Management, Prometheus, Software Engineering, Data Logging, Network Switches, Cloud-native Network Functions (CNF), Google Cloud, Load Balancing, Grafana, Firewalls (Computer Science), Amazon Virtual Private Cloud (VPC), Kubernetes, Hashicorp, Claude, Google Gemini, Firewall Services Module, Terraform - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/cloud-engineer-google-cloud-platform-new-york-ny--88d5f6be-a4c4-44e5-891e-289b4c13ced9 ## About the Role Cloud Computing, Software Engineering, Customer Experience, Software Engineering, Cloud Computing, Problem Solving Skills, Team Player, Agile Programming Methodologies, Consulting, GCP (Good Clinical Practices), As a Lead Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what's possible. You bring [7+ years] of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: * A curious problem solver who challenges the status quo * A collaborator who values teamwork and knowledge-sharing * Excited by the intersection of technology, creativity and data * Experienced in Agile methodologies and consulting (a plus), * [7+ years] in cloud or infrastructure engineering, including [3+ years] of hands-on experience with Google Cloud Platform. * Expert-level infrastructure and networking skills within GCP, including VPC design, firewalls, load balancing, DNS, shared VPC, and VPN or Interconnect. * Hands-on experience with Terraform building and maintaining infrastructure as code. * Working knowledge of core GCP services such as Compute Engine, GKE, Cloud Storage and IAM. * Experience with CI/CD tools and Python or Bash * Experience designing landing zones, resource hierarchy and governance on GCP. * Experience with AI-native delivery, using AI assistants to develop code and automate infrastructure work, with familiarity with Gemini and Claude. * Experience guiding technical work or mentoring other engineers. * Strong communication skills and a collaborative approach with client teams. * Nice to have qualifications * Google Cloud certification, such as Professional Cloud Architect, Professional Cloud DevOps Engineer or Professional Cloud Network Engineer. * HashiCorp Certified: Terraform Associate. * Experience with data center to GCP migrations. * Experience operating Kubernetes (GKE) * Experience with observability tools such as Cloud Operations Suite, Prometheus and Grafana. ## Description * Design, deploy and manage secure GCP infrastructure with Terraform, including reusable modules, remote state and environment promotion. * Build and maintain CI/CD pipelines for infrastructure changes, with code review, policy checks and automated validation. * Design and operate cloud networking: VPC architectures, subnets, firewall rules, Cloud NAT, Cloud DNS and load balancing. * Set up hybrid connectivity with Cloud VPN or Cloud Interconnect and manage shared networking across projects. * Apply IAM least privilege, organization policies, service accounts and secrets management across projects. * Set up monitoring, logging and alerting with Google Cloud Operations Suite, Prometheus or Grafana. * Improve availability, performance and cost efficiency, and support incident response and root cause analysis. * Automate recurring operational tasks with Python or Bash. * Use AI assistants such as Gemini and Claude to develop and review infrastructure code, and to speed up documentation and troubleshooting. * Set infrastructure standards, review changes and mentor other engineers. * Work with application, security and delivery teams, and document designs and runbooks.