> Markdown version of [/jobs/ext/3186280-associate-google-cloud-gcp](https://www.wearedevelopers.com/jobs/ext/3186280-associate-google-cloud-gcp). 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). --- # Associate, Google Cloud - GCP - **Company:** Kpmg LLP - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, User Authentication, BigQuery, Cloud Engineering, Data Flow Control, Identity and Access Management, OpenShift, Public Key Infrastructure, Role-Based Access Control, Ansible, Cloudera, Azure Machine Learning, Subversion, Software Vulnerability Management, Data Logging, Data Processing, Scripting, Google Cloud, Cloud Platform System, Generative AI, HybridCloud, Git, Build Management, Containerization, Gitlab-ci, Kubernetes, Data Management, Puppet, Terraform, Software Version Control, Docker, Jenkins - **Published:** September 1, 2026 - **Apply:** https://www.kpmguscareers.com/jobdetail/?jobId=137215 ## About the Role * Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience * Bachelor's degree from an accredited college/university * Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred * Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members * Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus * Ability to travel as required * Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) ## Description * Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. * Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. * Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. * Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. * Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. * Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. * Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. * Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. * Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor.