DevOps Engineer

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.