| Senior Devops Engineer with Python and Kubernetes Must in Santa Clara, CA (Locals) at Santa Clara, California, USA |
| Email: [email protected] |
| From: Vivek, Megatrendz [email protected] Reply to: [email protected] Senior Devops engineer Local only Experience: 10+ minimum Location : Santa Clara, CA (mandatory to be in office at least 4 days/week no exception) JD Summary : Skilled engineer to join our team and contribute to the successful implementation and management of our cloud-based infrastructure. Stay up to date with the latest trends and advancements in Python, APIs, web server administration, application server administration, and Machine Learning technologies. The ideal candidate will have expertise in Cloud Kubernetes/OpenShift, application lifecycle management, experience with Cloud Kubernetes clusters, and a strong background in CICD implementation, architecture design, containerization, Dockers, and AWS. Detailed JD : Know the installation and configuration of Python of all the latest version, the knowhows of a python upgrade, maintaining python environments. Knowledge in storage management of unstructured data. Good understanding of on-prem (NAS) and cloud storage technologies (FSX, Snap-Mirror, S3) Administer and maintain Python-based APIs, web servers, and application servers to ensure optimal performance and availability. Monitor and troubleshoot system issues, including performance bottlenecks, server crashes, and connectivity problems. Collaborate with development teams to ensure the seamless integration of APIs and web services into existing systems. Implement security measures and best practices to protect APIs and servers from unauthorized access and potential threats. Manage and maintain Machine Learning infrastructure, including the deployment and monitoring of models, data pipelines, and other ML components. Administer and maintain the Databricks platform, including cluster management, user access, and security configuration. Monitor and troubleshoot issues related to Databricks clusters, job scheduling, data pipelines, and data processing workflows. Collaborate with data engineers and data scientists to optimize and tune Databricks performance, ensuring efficient data processing and analytics. Work closely with IT operations teams to ensure seamless integration of Databricks with other data storage systems, data lakes, and data warehouses. Automate and streamline Databricks administration tasks using scripting and automation tools. Manage the entire lifecycle of applications running on Cloud Kubernetes/OpenShift platforms. Monitor and troubleshoot application issues, perform upgrades, and ensure high availability. Design, deploy, and maintain Kubernetes clusters on cloud platforms such as AWS. Deploy and manage applications on AWS using services like EC2, S3, RDS, etc. Ensure scalability, security, and optimal performance of the Kubernetes infrastructure. Implement Continuous Integration and Continuous Deployment (CICD) pipelines for application releases. Configure and maintain CICD tools and frameworks such as Jenkins, GitLab CI/CD, or similar. Collaborate with cross-functional teams to design and architect scalable and resilient cloud-based solutions. Containerize applications using Docker to enable portability and scalability. Implement and configure monitoring tools and frameworks such as Prometheus, Grafana, or similar. Set up monitoring dashboards to track the health, performance, and availability o Keywords: continuous integration continuous deployment machine learning sthree information technology California Senior Devops Engineer with Python and Kubernetes Must in Santa Clara, CA (Locals) [email protected] |
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| Thu May 23 18:13:00 UTC 2024 |