Posted:2 weeks ago| Platform:
Work from Office
Full Time
Platform Engineer JD Skills and Expertise: Leverage contemporary hybrid cloud skills (e.g., AI, analytics, DevOps, DevSecOps, IaC, automation, security, networking, and storage) with industry expertise. Technical experience in cloud-related domains such as Data/Analytics, Security, or other cloud-native, hybrid, or public-cloud technologies. Understanding and practical application of Agile best practices. Proficient in at least one common cloud-native programming language (Java, Python, HCL, Rust, Ansible, etc.). Experience in deploying and operating solutions on AWS orAzure or Google Cloud. Knowledge of Well-Architected Frameworks from AWS, Azure, IBM Cloud, or Google Cloud. Relevant technical certifications (e.g., CNCF, AWS, IBM Cloud, Azure, Google Cloud, DevOps). Experience - 3-4 years. Technical Operations: Experience in technical operations roles, such as site reliability or platform engineering, in hybrid-cloud and on-premise environments. Build software and automation to run infrastructure at scale with minimal human intervention. Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, and monitoring. Collect and review system data for capacity and planning purposes. Implement continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI, or Azure DevOps. Automate deployment processes to ensure reliable and repeatable releases. Monitor and optimize deployment workflows to improve efficiency and reduce downtime. Utilize containerization technologies such as Docker and Kubernetes for scalable and portable deployments. Ensure robust configuration management using tools like Ansible, Puppet, or Chef. Collaborate with development and operations teams to streamline the deployment process and enhance system reliability. Experience in mobile deployment strategies and tools to ensure seamless application delivery across mobile platforms. Knowledge of internal developer portals to facilitate efficient development workflows and resource management. Implement observability using tools like Dynatrace and Grafana to monitor and improve platform availability and application uptime
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