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Insight Global is seeking an experienced Mid-Level Cloud Engineer to join a highly collaborative team responsible for the development, deployment, and integration of AI tools and AWS Cloud Solutions for DoW Mission Partners. The Cloud Engineer builds, configures, documents, and maintains DoW virtual infrastructure using AWS services, containers, and serverless tech.
Responsibilities include deploying multi-component cloud solutions, managing ECS/EKS containers and Lambda functions, and ensuring
Job Description
Insight Global is seeking an experienced Mid-Level Cloud Engineer to work as part of a highly collaborative team responsible for the development, deployment, and integration of AI tools and AWS Cloud Solutions for DoW Mission Partners. The Cloud Engineer is responsible for building, configuring, documenting, and maintaining DoW virtual infrastructure using modern AWS services, container orchestration, and serverless technologies. The highly qualified candidate has hands‑on skills and expertise:
Supporting large DoW programs that operate and maintain multiple IL 4/5 hybrid‑cloud and AWS GovCloud environments.Assisting client teams in deploying and modernizing applications using containers (Docker/ECS/EKS) and serverless functions within an AWS cloud environment.The Cloud Engineer reports directly to the Technical Lead, and will routinely engage with the Project Manager, senior engineers, customers, and Mission Partners. Duties include:
Deploy and maintain multi‑component, cloud‑based / hybrid solutions and new capabilities in AWS that meet customer and DoW security requirements.Implement and manage containerized workloads utilizing Amazon ECS, EKS, or AWS Fargate.Build and configure serverless application components using AWS Lambda, API Gateway, and step functions.Ensure system components maintain strict compliance with DoW requirements and security frameworks (NIST/FedRAMP).Conduct functional, interoperability, and security testing of cloud deployments, including routine network and system maintenance activities.Implement routine system updates including STIGs, OS, and application patching via automated CI/CD pipelines.Coordinate support for enclave applications and operations, troubleshooting cloud networking and infrastructure issues.
Skills and Requirements
Active Secret security clearance with the ability to obtain a Top Secret security clearance with SCI indoctrination.Bachelor's degree in Computer Science; Information Systems Management; or a similar Science, Technology, Engineering, and Mathematics (STEM) discipline.Active DoW 8140 IAT Level II or greater certification (CompTIA Security+ and/or CISSP preferred) or obtained within 30 calendar days of hire.5+ years of broad IT experience in cybersecurity, systems administration, or engineering, with at least 2+ years of hands‑on experience deploying solutions in Amazon Web Services (AWS).Ability to travel <10% to CONUS locations (primarily the Northern VA metropolitan area).Solid hands‑on proficiency with AWS cloud services and technologies, including:Compute & Storage: EC2, S3, RDS, EBS.Networking: VPC, Subnets, Security Groups, basic routing.Containers: Familiarity with Docker and deploying containers via Amazon ECS or EKS.Serverless: Experience deploying and troubleshooting AWS Lambda functions.Infrastructure as Code (IaC): Working knowledge of Terraform or AWS CloudFormation.Fundamental understanding of data management and security within cloud environments, utilizing AWS IAM (Roles, Policies).Prior experience working in/with a DoW organization, DoW performers, or in AWS GovCloud environments.Active AWS Certification (e.g. Cloud Practitioner, Solutions Architect).Familiarity with OS level maintenance on Oracle Linux 8 machines.Experience with:Cloud networking and troubleshooting (e.g., IP networking, VPNs, DNS, and load balancing).CI/CD pipelines (e.g., GitLab CI, Jenkins, AWS CodePipeline).Enforcing cloud security practices including configuring encryption, bucket policies, and locking down security groups.Supporting Microsoft Active Directory/ AD FS integration with cloud apps.Understanding of AI/ML operations and the development-to-field lifecycle.Hands‑on knowledge and experience with Atlassian's Jira and Confluence.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.