BigBear.ai is seeking a skilled DevOps Engineer to support the modernization and deployment of a critical government information system. The ideal candidate will have hands-on experience with GitLab CI/CD pipelines, Nexus Repository management, and building and maintaining Apache Solr clusters with Zookeeper in production environments. Responsibilities include designing, implementing, and maintaining automated deployment pipelines, managing artifact repositories, building and operating Solr clusters, administering Windows Server environments, and orchestrating infrastructure upgrades. The role also involves planning migration strategies from on-premises VMware to AWS cloud infrastructure and configuring AWS services such as EC2, VPC, IAM, and S3, using CloudFormation and Terraform for infrastructure-as-code. You should develop containerization strategies for Java applications, implement configuration management tools, and apply security controls in both on-premises VMware and AWS cloud environments while monitoring system performance and optimization opportunities.

BigBear.ai is seeking a skilled DevOps Engineer to support the modernization and deployment of a critical government information system. The ideal candidate will have hands-on experience with GitLab CI/CD pipelines, Nexus Repository management, and building and maintaining Apache Solr clusters with Zookeeper in production environments. Responsibilities include designing, implementing, and maintaining automated deployment pipelines, managing artifact repositories, building and operating Solr clusters, administering Windows Server environments, and orchestrating infrastructure upgrades. The role also involves planning migration strategies from on-premises VMware to AWS cloud infrastructure and configuring AWS services such as EC2, VPC, IAM, and S3, using CloudFormation and Terraform for infrastructure-as-code. You should develop containerization strategies for Java applications, implement configuration management tools, and apply security controls in both on-premises VMware and AWS cloud environments while monitoring system performance and optimization opportunities.