Cloud Engineer IV

Overview In today's rapidly evolving environment, organizations need to make data-driven decisions that deliver enterprise value. Our OnX Cloud and Artificial Intelligence practitioners design, develop, and implement large-scale data ecosystems, leveraging cloud-based platforms to integrate structured and unstructured data. We utilize automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions. By continuously optimizing our cloud infrastructure and providing As-a-Service offerings, we ensure ongoing insights and improvements to enhance operational efficiency. We assist clients in transforming their businesses by developing organizational intelligence programs and strategies, enabling them to stay ahead in their markets. Our team works with clients to: Implement large-scale data ecosystems, including data management, governance, and the integration of structured and unstructured data to generate insights using cloud-based platforms. Use automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions. Enhance operational efficiency by maintaining data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements. Responsibilities As a Cloud Engineer, you will: Design, develop, and implement large-scale data ecosystems: Collaborate with cross-functional teams to ensure seamless integration and deployment of data ecosystems in a DevOps environment, utilizing CI/CD, Docker, and Kubernetes. Automate infrastructure provisioning and management using Infrastructure as Code (IaC) practices : Employ automation, cognitive, and science-based techniques to manage data, predict scenarios, and prescribe actions. Support the technical implementation of cloud solutions : Troubleshoot and resolve technical issues to maintain operational efficiency. Provide technical guidance and support during the implementation and maintenance phases. Optimize cloud infrastructure : Stay updated with the latest cloud technologies and best practices to ensure the infrastructure remains cutting-edge and provide solutions to complex data-related challenges. Maintain data ecosystems, source analytics expertise, and provide As-a-Service offerings for continuous insights and improvements. Requirements Required : 5-8 Years of Industry Experience Hands-on experience with CI/CD pipelines, Docker, and Kubernetes. Proven experience in cloud engineering or a similar role. Strong understanding of cloud platforms (e.g., AWS, Azure, GCP). Proficiency in Infrastructure as Code (IaC) tools, especially Terraform. Solid understanding of networking, security, and DevOps practices. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. 2 years of experience in Java, .NET or Python Effective communication skills, written and oral Nice to have : Experience in Git, Redhat OpenShift, VMWare, Databricks, Snowflake, Python, OpenSearch, ElasticSearch, Oracle or MS SQL DBs Familiarity with other IaC tools such as CloudFormation or Ansible. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). AWS, Microsoft Azure or Google Cloud certifications Education ​Four years of College resulting in a Bachelor's Degree or equivalent​ Bachelor's in Business, Computer Science, Engineering, or related field