Overview BigBear.ai is seeking a dynamic Cloud System Engineering Lead with extensive experience in AWS cloud environments, including Infrastructure as Code (IaC). This role involves leading a team in supporting cloud infrastructure, security remediation, and DevSecOps within the Army AWS GovCloud environment. The position is balanced between hands-on technical work and leadership, requiring on-site presence for IL6 classified environments. On-site is required for 3-5 days as needed in Chantilly, VA. What you will do Lead a cloud system engineering team in both IL5 (unclassified, possible remote) and IL6 (classified) environments Execute 90% hands-on involvement in projects alongside 10% leadership and guidance duties Implement and manage AWS cloud services (EC2, Lambda, S3, VPC, Route 53, CloudFormation, ECR, ECS, EKS, etc) and oversee system networking Develop, implement, and maintain Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation, and Ansible Drive DevSecOps initiatives using Jenkins, GitLab, Docker, and other CI/CD tools Lead efforts in cloud security remediation, ensuring alignment with compliance and regulatory standards Mentor and develop the engineering team, fostering a culture of innovation and collaboration Collaborate with various teams to integrate cloud strategies with the organization's objectives. What you need to have Clearance: must possess and maintain active Secret level clearance Bachelor's Degree in Computer Science, Engineering, IT, and 8+ years of experience, or; Associates Degree and 7+ years of experience, or; Master's Degree and 6+ years of experience, or; PhD and 3+ years of experience, or; (in lieu of Bachelor’s degree, 14+ years of relevant experience) Must Have: CompTIA Security+ certification Over 8 years of experience in system engineering and DevSecOps, specifically in AWS cloud environments, with a strong focus on services like EC2, S3, VPC, Lambda, and CloudFormation Proficiency in key AWS services is crucial. This includes, but is not limited to, Amazon EC2, S3, RDS, VPC, Route 53, Lambda, Auto Scaling, Elastic Load Balancing (ELB), and CloudFormation. Knowledge of advanced services like container services (ECR, EKS), data services (Athena, Glue, Redshift) and security monitoring services (Security Hub, System Manager, Cloudwatch) also beneficial Experience in designing and implementing solutions that ensure high availability and disaster recovery. This involves understanding the principles of fault tolerance, multi-AZ (Availability Zone) and multi-region deployment strategies Strong skills in AWS network architecture and security are essential. This includes setting up VPCs, subnets, NAT, Transit gateways, as well as implementing network ACLs, security groups, and AWS Identity and Access Management (IAM) roles and policies Experience with IaC tools such as AWS CloudFormation or Terraform to automate the setup, scaling, and management of infrastructure Familiarity with AWS monitoring and management tools like Amazon CloudWatch, AWS Config, and AWS Systems Manager for tracking the performance and health of applications and services Knowledge of DevSecOps practices and CI/CD pipelines to automate and streamline the deployment and management processes. Experience with tools such as Jenkins, GitLab CI/CD, or AWS CodePipeline Skills in performance tuning and optimization of AWS resources to ensure efficient operation of the environment Understanding of compliance requirements specific to AWS GovCloud, including FedRAMP and DoD SRG compliance standards. Experience with security remediation and risk management frameworks Proficiency in scripting languages such as Python, Bash, or PowerShell for automation of cloud operations Ability to troubleshoot and resolve complex infrastructure issues in AWS environment Strong hands-on experience with DevSecOps tools and methodologies Experience with container development (docker, podman) Strong communication and collaboration skills to work effectively with various teams and stakeholders Demonstrated leadership skills with experience in managing technical teams What we'd like you to have AWS Professional-level certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional) Experience in highly regulated environments, particularly with IL5 and IL6 standards About BigBear.ai BigBear.ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. BigBear.ai’s customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai’s solutions to see and shape their world through reliable, predictive insights and goal-oriented advice. Headquartered in Columbia, Maryland, BigBear.ai is a global, public company traded on the NYSE under the symbol BBAI. For more information, please visit: http://bigbear.ai/ and follow BigBear.ai on Twitter: @BigBearai.