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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google Cloud Platform DevOps & Data Engineer Consultant - **Company:** Technogen, Inc. - **Location:** Alpharetta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, Microsoft Azure, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Information Engineering, DevOps, Monitoring of Systems, Identity and Access Management, Network Security, Cloud Services, Migration Manager, Prometheus, Salesforce.Com, Enterprise Data Management, Google Cloud, Cloud Monitoring, Delivery Pipeline, Grafana, Generative AI, Event Driven Architecture, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Data Management, Cloud Migration, Restful APIs, Terraform, Data Pipelines, Serverless Computing, Databricks, Artifactory - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/974ddc59-75ac-41f7-a198-1d7ac6e4fb5b ## About the Role * Minimum 3 5 years of experience in DevOps Engineering, Cloud Engineering, Data Engineering, or Infrastructure Automation. * Minimum 2+ years of hands-on experience implementing solutions on Google Cloud Platform, including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and serverless technologies. * Minimum 2 years of experience building and supporting enterprise data pipelines using Databricks. * Minimum 2 years of experience implementing Infrastructure as Code using Terraform. * Experience developing and maintaining CI/CD pipelines using GitOps methodologies and Azure DevOps. * Experience managing build artifacts and repositories using JFrog Artifactory. * Experience working with Pub/Sub, Kafka, REST APIs, and event-driven integration architectures. * Strong understanding of Google Cloud IAM, encryption, networking, monitoring, and cloud security best practices. * Strong analytical, troubleshooting, automation, and problem-solving skills. * Excellent verbal and written communication skills with the ability to work effectively in cross-functional and client-facing environments. Degree: Bachelor's degree in computer science, Engineering, Information Technology, or equivalent work experience. Nice to Have: * Experience supporting Salesforce Agentforce or AI-enabled cloud platforms. * Experience with Generative AI workloads and Google Gemini ecosystem. * Experience with Kubernetes administration and platform engineering. * Experience with monitoring tools such as Cloud Monitoring, Prometheus, or Grafana. * Experience working in consulting or professional services organizations. * Technical lead or project delivery experience. ## Description * Design, implement, and support enterprise cloud infrastructure and data engineering solutions on Google Cloud Platform. * Develop and optimize cloud-native data ingestion, transformation, and processing pipelines using Databricks and Google Cloud Platform services. * Design, deploy, and automate scalable cloud infrastructure using Terraform following Infrastructure as Code best practices. * Develop and maintain enterprise CI/CD pipelines utilizing GitOps methodologies, Azure DevOps, and modern DevOps practices. * Manage artifact repositories, release pipelines, and package lifecycle using JFrog Artifactory. * Deploy, manage, and optimize containerized workloads running on Google Kubernetes Engine (GKE) and Cloud Run. * Develop scalable integrations using Google Pub/Sub, Kafka, REST APIs, and event-driven architecture patterns. * Administer and optimize Google Cloud data platforms including BigQuery, AlloyDB, Cloud Storage, and Spanner. * Monitor cloud infrastructure, deployment pipelines, application performance, and operational health while driving continuous improvements. * Implement Google Cloud security controls including IAM, encryption, network security, compliance, and governance standards. * Collaborate with solution architects, developers, data engineers, and client stakeholders to deliver secure, scalable, and high-performing cloud platforms. * Participate in architecture reviews, technical assessments, migration planning, and cloud modernization initiatives while providing implementation guidance and best practices. * Support pre-sales activities by contributing to solution design, effort estimation, technical documentation, and client presentations when required. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Got AI ideas but no money? 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