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About the job
Overview
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. You will be responsible for automating deployment processes, managing artifact repositories, and orchestrating infrastructure upgrades across Windows Server environments while planning the migration path to AWS cloud infrastructure. Strong expertise in Windows Server administration, AWS cloud services (EC2, VPC, IAM, S3, CloudFormation/Terraform), and infrastructure-as-code practices are essential. Experience with containerization strategies for Java applications, configuration management tools, and implementing security controls in both on-premises VMware and cloud environments is highly valued.
What You Will Do
CI/CD & Automation:
- Design, implement, and maintain GitLab CI/CD pipelines for automated deployments
- Automate deployment processes across development, staging, and production environments
- Manage Nexus Repository for artifact storage and dependency management
- Develop infrastructure-as-code solutions using CloudFormation and/or Terraform Infrastructure Management:
- Build and maintain Apache Solr clusters with Zookeeper in production environments
- Administer Windows Server environments and orchestrate infrastructure upgrades
- Plan and execute migration strategies from on-premises VMware to AWS cloud infrastructure
- Configure and manage AWS services including EC2, VPC, IAM, S3, and related components Containerization & Security:
- Develop containerization strategies for Java applications
- Implement configuration management tools and practices
- Apply security controls in both on-premises VMware and AWS cloud environments
- Monitor system performance and implement optimization strategies
What You Need To Have
WHAT YOU NEED TO HAVE:
Education & Experience Requirements
- 13+ Years of experience in Systems or IT related roles or a highly related field of work with similar scope and responsibilities.
- A Bachelor’s degree may be substituted for 4 years of experience and a Master’s Degree may be substituted for 6 years of experience
- Ability to obtain and/or maintain a TS/SCI government clearance which requires US Citizenship
- Hands-on experience with GitLab CI/CD pipelines
- Nexus Repository management experience
- Building and maintaining Apache Solr clusters with
Zookeeper in production environments
- Strong expertise in Windows Server administration
- Strong expertise in AWS cloud services (EC2, VPC, IAM, S3, CloudFormation/Terraform)
- Infrastructure-as-code practices
What We'd Like You To Have
- TS/SCI with an in-scope Polygraph
- Containerization strategies for Java applications
- Configuration management tools
- Implementing security controls in both on-premises VMware and cloud environments
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
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