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 Platform & DevOps Engineer, you will:

• Design, deploy, and manage cloud infrastructure: Implement and maintain Amazon EKS and RedHat OpenShift environments, particularly within PBMM environments.
• Implement and manage DevOps practices and tools: Utilize AWS CDK, AWS CodePipeline, AWS CodeBuild, Argo CD, and AWS CodeDeploy to automate software delivery and infrastructure management.
• Implement monitoring and observability solutions: Utilize CloudWatch Logs, CloudWatch RUM, CloudWatch Synthetics, and AWS X-Ray to monitor system performance and troubleshoot issues.
• Develop and deploy applications in a cloud environment: Write code in Typescript, Python, and Lambda to build and deploy cloud-native applications.
• Ensure security and compliance of cloud environments: Implement security best practices and adhere to regulatory requirements.

Requirements

• Hands-on experience with Amazon EKS and RedHat OpenShift.
• Proficiency in AWS CDK, AWS CodePipeline, AWS CodeBuild, Argo CD, and AWS CodeDeploy.
• Strong understanding of CloudWatch Logs, CloudWatch RUM, CloudWatch Synthetics, and AWS X-Ray.
• Proficiency in Typescript, Python, and Lambda.
• Solid understanding of networking, security, and DevOps practices.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Effective communication skills, written and oral.

Nice to have:

• Experience with Git.
• 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.

Nice to have:

• Experience in Git, Redhat OpenShift, VMWare, Databricks, Snowflake, 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