5 of 5 Permanent Google Compute Engine Jobs

systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud … Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using Docker … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI More ❯

our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support More ❯

Role: Google Cloud Engineer Location: Charlotte, NC Duration: Long Term Contract About the Role:We are seeking an experienced Google Cloud Engineer to join our team on a contract basis. The ideal candidate will be responsible for designing, developing, and managing scalable, secure, and resilient infrastructure and services on Google Cloud Platform (GCP You will work closely … GCP. Perform cost optimization, security hardening, and performance tuning. Troubleshoot issues across cloud services and applications. Ensure compliance with security and operational best practices. Requirements: Proven experience as a Google Cloud Engineer or similar role. Robust understanding of GCP services such as Compute Engine, Cloud Storage, GKE, Cloud Functions, Pub/Sub, Cloud SQL, etc. Proficiency with … languages. Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Cloud Build Familiarity with containerization and orchestration (Docker, Kubernetes Solid grasp of cloud security principles and IAM configuration. Google Cloud certification (e.g., Professional Cloud Architect or Cloud Engineer) is a plus. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Experience with hybrid or multi-cloud environments. Familiarity More ❯

understand customer challenges, design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative AI technologies to solve complex business problems. A … blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc. … AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution Design: Building scalable, secure More ❯

Company Watch is hiring a full-time, remote/hybrid Analytics Engineer to help build out their data architecture. The role involves owning and operating data warehouse pipelines using Google Cloud Platform services (like BigQuery and Airflow). You will work closely with data scientists and business stakeholders to understand their needs and build reliable, high-quality data products … programming skills Working in an Agile Development environment Experience of data quality assessment and validation Deployment/use of specific GCP Components including: Cloud Run, Dataflow, DataProc, Cloud Composer, Compute Engine Nice to have Knowledge of traditional databases e.g. MS SQL Server or Postgresql Experience in the Business or Credit Information industry Familiarity with the Linux command line More ❯