Associate AWS DevOps Engineer

KBR•Edison Township, SD

About The Position

KBR is seeking an Associate AWS DevOps Engineer to support the development, automation, security, and operation of AWS environments for mission-critical customer workloads. This hands-on, early-career role works under technical guidance with cloud, DevOps, architecture, cybersecurity, application, and infrastructure teams. The engineer supports cloud modernization while developing expertise in AWS, Infrastructure as Code, CI/CD, containers, security, observability, FinOps, and AI-assisted engineering. The role contributes to cloud migrations, production operations, compliance activities, incident response, and disaster-recovery planning, with senior engineers providing mentoring, design review, and production-change oversight. The position is not expected to independently own enterprise cloud architecture, FedRAMP compliance, production incident command, disaster-recovery architecture, or large-scale cloud migrations. U.S. citizenship is required. Employment is contingent on verification of citizenship and applicable customer, facility-access, background-investigation, and contract eligibility requirements. The candidate must be able to obtain and maintain a national agency check and background investigation to obtain government-facility access and a user account. Candidates joining KBR's Mission Technology Solutions business before its planned spin-off are expected to transition to Trinzic when the separation is complete without reapplying.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related technical field, or an equivalent combination of education and relevant experience.
  • At least two years of relevant experience in cloud engineering, DevOps, platform engineering, systems administration, software development, infrastructure automation, cybersecurity engineering, or a related field. Internships, cooperative education, military technical experience, and comparable applied engineering experience may count.
  • Hands-on experience with AWS cloud services.
  • Experience with at least one Infrastructure as Code technology, such as Terraform, AWS Cloud Development Kit, or AWS CloudFormation.
  • Experience with a scripting or programming language such as Python, Bash, PowerShell, Java, Go, or JavaScript.
  • Experience with Linux administration, command-line tools, scripting, or troubleshooting.
  • Familiarity with Git and source-code management.
  • Familiarity with continuous integration and continuous delivery.
  • Familiarity with Docker, Kubernetes, Amazon EKS, Amazon ECS, or another container platform.
  • Familiarity with cloud networking, identity and access management, encryption, logging, monitoring, and security practices.
  • Ability to troubleshoot technical problems, document findings, and appropriately escalate complex issues.
  • Strong collaboration, written communication, and verbal communication skills.
  • Ability and willingness to learn new AWS services, DevOps tools, security controls, and automation technologies.
  • U.S. citizenship is required due to customer and contract requirements.
  • Must hold one of the listed active AWS associate certifications at hire or obtain one within six months: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, AWS Certified CloudOps Engineer – Associate, AWS Certified Data Engineer – Associate, or AWS Certified Machine Learning Engineer – Associate. AWS Certified Cloud Practitioner does not satisfy this requirement.
  • Must be able to obtain and maintain a national agency check and background investigation for government facility access and a user account.

Nice To Haves

  • Experience supporting AWS environments through professional employment, an internship, cooperative education, military service, an academic project, or another applied engineering setting.
  • Experience with tools such as GitLab, GitLab Runners, Ansible, Helm, ArgoCD, or Flux.
  • Familiarity with FedRAMP, FISMA, NIST Special Publication 800-53, or a comparable security framework.
  • Familiarity with cloud observability, vulnerability management, incident response, backup and recovery, or FinOps.
  • Experience using approved Generative AI tools for engineering, scripting, testing, documentation, or troubleshooting.

Responsibilities

  • Deploy, configure, maintain, monitor, and troubleshoot AWS cloud environments.
  • Support application and infrastructure migration and modernization.
  • Develop and maintain Infrastructure as Code using Terraform, AWS Cloud Development Kit, AWS CloudFormation, or comparable tools.
  • Create automation using Python, Bash, PowerShell, Go, Rust, or similar languages.
  • Build and maintain CI/CD pipelines using GitLab, GitLab Runners, GitHub Actions, or comparable platforms.
  • Automate build, testing, security scanning, artifact management, deployment, validation, promotion, and rollback processes.
  • Support containerized workloads using Docker, Kubernetes, Amazon EKS, Amazon ECS, Helm, and applicable GitOps tools.
  • Apply security practices for identity and access management, encryption, secrets, vulnerabilities, logging, auditing, and least-privilege access.
  • Support environments subject to applicable FedRAMP, FISMA, NIST, customer, and contract security requirements.
  • Assist with compliance documentation, evidence collection, remediation, and continuous monitoring.
  • Maintain monitoring, alerting, dashboards, runbooks, backups, recovery processes, and service-health checks.
  • Troubleshoot cloud infrastructure, Linux, networking, pipelines, containers, and application deployments, escalating complex issues when appropriate.
  • Apply FinOps practices, including tagging, cost monitoring, rightsizing, scheduling, storage optimization, and identifying unused resources.
  • Maintain technical documentation, diagrams, configuration records, and operating procedures.
  • Participate in technical reviews, code reviews, Agile planning, incident response, knowledge sharing, and continuous improvement.
  • Use approved Generative AI tools for documentation, scripting, testing, troubleshooting, and automation in accordance with security and responsible-use requirements.
  • Contribute to cloud migrations, production operations, compliance activities, incident response, and disaster-recovery planning under senior-engineer guidance.

Benefits

  • 401K plan with company match
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • AD&D
  • Flexible spending account
  • Disability benefits
  • Paid time off
  • Flexible work schedule
  • Professional training and development
  • Career advancement opportunities
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