9 Kubernetes Gke Jobs

As a GCP DevOps professional, you will be responsible for leading a team and ensuring the efficient operation of cloud infrastructure. Your qualifications should include: - GCP Professional Cloud Architect or DevOps Engineer certification. - At least 5 years of overall experience in GCP DevOps, with a strong background in Team leading. - Proficiency in core GCP services such as Compute Engine, Cloud Storage, VPC, IAM, BigQuery, Cloud SQL, Cloud Functions, Operations Suite Terraform. - Familiarity with CI/CD tools like Jenkins, GitLab CI/CD, Cloud Build. - Experience in containerization technologies like Docker, Kubernetes (GKE), Helm. - Ability to script using languages like Python, Bash, or...

As a Java fullstack Technical Lead for a French multinational IT services and consulting company headquartered in Paris, you will play a crucial role in mobilizing and managing technology in a Global Investment Banking environment. Your minimum 8-10 years of overall IT experience, with at least 5 years in a Technical Lead / Development SME role, will be essential for success in this position. Key Responsibilities: - Demonstrate experience in Continuous Delivery software development methods, including TDD and automated testing, including non-functional performance testing. - Work on high volume data integration and throughput requirements, specifically profiling. - Implement micro service arc...

Job Title: Google Cloud Architect Location: [Navi Mumbai] / WFO Experience: 10 13 years Industry: Healthcare Functional Area: IT Infrastructure Multi Cloud / Infrastructure Employment Type: Full Time, Permanent Open Position: 2 Job Description We are seeking a highly skilled and experienced Cloud Architect ( Multi cloud - Primarily GCP and Azure ) to design, implement, and manage scalable, secure, and reliable cloud solutions on the Google Cloud Platform (GCP) and Azure. You will work closely with cross-functional teams to lead cloud transformation initiatives and provide technical leadership on all cloud related matters. Key Responsibilities Architect, design, and deliver large-scale, high-...

Role Overview: You are expected to have overall IT experience in the range of 8-10 years with a minimum of 5 years of experience in a Technical Lead / Development SME role. Your direct experience should include mobilising and managing technology in a Global Investment Banking environment. You should have demonstrable experience in Continuous Delivery software development methods, including TDD and automated testing, as well as experience in high volume data integration and throughput requirements. Familiarity with microservice architecture, REST principles, and UI/Dashboards is advantageous. A background in solid architectural work is preferred. Key Responsibilities: - Possess experience wit...

You will be joining a French multinational IT services and consulting company with a commitment to leveraging technology for an inclusive and sustainable future. As a Technical Lead/Development SME with 8-10 years of overall IT experience, you will play a vital role in mobilizing and managing technology in a Global Investment Banking environment. Your responsibilities will include: - Demonstrating experience in Continuous Delivery software development methods, such as TDD and automated testing, including non-functional performance testing. - Working on high volume data integration and throughput requirements, particularly in profiling. - Implementing microservice architecture and REST princi...

As a highly skilled MLOps Engineer at UPS, you will design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. Your role will involve collaborating with technical teams and business stakeholders to develop cutting-edge machine learning systems that add value to the business. Responsibilities: - Managing the deployment and maintenance of machine learning models in production en...

As a Full-time GCP DevOps Engineer at our company, you will be responsible for leading a team and utilizing your expertise in Google Cloud Platform (GCP). With your GCP Professional Cloud Architect or DevOps Engineer certification, along with a minimum of 5 years of experience, you will play a key role in optimizing our cloud infrastructure. Your hands-on experience with various core GCP services such as Compute Engine, Cloud Storage, VPC, IAM, BigQuery, Cloud SQL, Cloud Functions, Operations Suite Terraform will be crucial in ensuring the efficiency and reliability of our systems. Additionally, your proficiency in CI/CD tools like Jenkins, GitLab CI/CD, Cloud Build will help streamline our ...

We are looking for a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will collaborate with technical teams to develop cutting-edge machine learning systems that drive business value. In this role, you will manage the deployment and maintenance of machine learning models in production environments, ensuring seamless integration with existing systems. You will monitor model performance using metrics such as accuracy, precision, recall, and F1 score, address...

As a GCP DevOps Lead, you will be responsible for leading the architecture and infrastructure strategy using Google Cloud Platform (GCP). Your role will involve designing, implementing, and managing CI/CD pipelines, infrastructure as code, and deployment automation to ensure high availability, scalability, and performance of cloud environments. You will guide a team of DevOps engineers in daily operations and project execution, while also implementing and maintaining monitoring, logging, and alerting frameworks such as Stackdriver, Prometheus, and Grafana. Driving security best practices, collaborating with cross-functional teams, and optimizing cost, resource usage, and performance in GCP w...