| Data Infrastructure Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: sunil, ICS [email protected] Reply to: [email protected] Role : Data Infrastructure Engineer Location : Remote(Shift timing PST) Duration: Long Term Job Summary: As a Data Infrastructure Engineer, your experience in key areas is needed in the areas - Cloud. Infrastructure, software development lifecycle process, computer science fundamentals, operating. systems, and computer networking and are proficient in one or more programming languages. In this role, you will have to: Need 11+ years Design, implement, and maintain scalable cloud-based infrastructure solutions. Develop and implement automation scripts for deploying and managing cloud resources. Work closely with software development teams to integrate cloud-based infrastructure. solutions into their applications. Monitor and optimize the performance of cloud-based infrastructure to ensure maximum. uptime and availability. Ensure compliance with security and regulatory requirements for all cloud-based solutions. To be successful in this role, you will need: Bachelors or masters degree in computer science, Engineering, or a related field. 6+ years of professional experience in designing, building, and scaling services, especially. using cloud infrastructure such as AWS, Azure, or GCP. 4+ years experience with Kubernetes, Docker, and various strategies for deploying clusters. through automation . 4+ years extensive experience with automation tools including Terraform, ARM templates, or similar IaC tooling. 4+ years building out CI / CD pipelines in Gitlab, Circle CI , GitHub or similar technologies. 4+ years experience with observability toolsets (Prometheus, Grafana, Datadog, etc. ) 4+ years scripting experience in Python or Java 4+ years of experience in designing, analyzing, and troubleshooting large-scale , distributed. applications in a multi-cloud environment. Strong understanding of network architecture and security. Excellent communication and collaboration skills. Nice to have: Experience in ML Ops is a big plus. Keywords: continuous integration continuous deployment machine learning |
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| Mon Aug 14 19:38:00 UTC 2023 |