AWS DevOps Engineer

KBR•Edison Township, SD

About The Position

KBR is seeking an AWS DevOps Engineer to design, automate, secure, and operate AWS environments supporting mission-critical customer workloads. The hands-on role works across cloud engineering, architecture, cybersecurity, application development, and infrastructure teams to modernize systems and deliver reliable cloud services. The engineer independently completes assigned work, contributes to technical designs and operational decisions, owns defined technical components, and provides guidance to less-experienced engineers. The role may own defined services, pipelines, infrastructure components, automation capabilities, or technical work packages. Enterprise architecture and authorization decisions, major production incidents, and large-scale modernization programs remain collaborative responsibilities involving senior engineers, architects, cybersecurity personnel, program leadership, and customer stakeholders. The position supports important national missions and customer outcomes by modernizing mission-critical systems, strengthening secure cloud platforms, improving engineering automation, and increasing the reliability and cost efficiency of cloud services. The engineer works with engineers, architects, cybersecurity professionals, application teams, and customer stakeholders, with opportunities to expand expertise in AWS, DevOps, Infrastructure as Code, containers, cybersecurity, observability, FinOps, and AI-augmented engineering. 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 needing to reapply.

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 six years of relevant professional experience in cloud engineering, DevOps, platform engineering, systems administration, software development, infrastructure automation, cybersecurity engineering, or a related field.
Hands-on experience designing, deploying, securing, and operating AWS environments supporting production, regulated, security-sensitive, or mission-critical workloads.
Experience migrating, modernizing, or supporting applications and infrastructure in AWS.
Experience with Terraform, AWS Cloud Development Kit, AWS CloudFormation, or comparable Infrastructure as Code technology.
Experience with Python, Bash, PowerShell, Java, Go, JavaScript, or another scripting or programming language.
Experience with Linux administration and troubleshooting.
Experience with Git and source-code management workflows.
Experience with GitLab, GitLab Runners, GitHub Actions, or comparable continuous integration and continuous delivery platforms.
Experience with automated testing, security scanning, artifact management, deployment automation, environment promotion, or rollback.
Experience with Docker, Kubernetes, Amazon Elastic Kubernetes Service, Amazon Elastic Container Service, Helm, or comparable container technologies.
Working knowledge of AWS networking, identity and access management, encryption, secrets management, logging, monitoring, and cloud security.
Familiarity with Federal Risk and Authorization Management Program, Federal Information Security Modernization Act, National Institute of Standards and Technology Special Publication 800-53, or a comparable security framework.
Experience with monitoring, incident response, operational runbooks, backup and recovery, or disaster-recovery practices.
Familiarity with cloud cost management, resource tagging, rightsizing, or FinOps principles.
Ability to independently resolve complex technical issues, document findings, recommend corrective actions, and escalate material risks.
Ability to review technical work and guide less-experienced engineers.
Strong written, verbal, and cross-functional collaboration skills.
U.S. citizenship is required due to customer and contract requirements. Employment is contingent upon verification of citizenship and satisfaction of applicable customer, facility-access, background-investigation, and contract eligibility requirements.
Must hold at least one active certification at hire: AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate, or AWS Certified CloudOps Engineer - Associate. AWS Certified Cloud Practitioner does not satisfy this requirement.
A candidate who does not hold an AWS Professional-level certification at hire must obtain at least one within 12 months of starting the position.
Must be able to obtain and maintain a national agency check and background investigation after hiring to obtain a badge for government facility access and user account.
Experience and/or education in lieu of the listed qualifications will be reviewed for applicability.

Nice To Haves

AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional at the time of hire.
Additional relevant AWS Professional or Specialty certifications.
Experience supporting public-sector, federal, government-contracting, or similarly regulated AWS environments.
Experience administering GitLab Runners and GitLab-based delivery pipelines at scale.
Experience providing reusable infrastructure modules, deployment templates, platform services, or self-service cloud capabilities to multiple engineering teams.
Experience integrating AWS with on-premises networks, identity services, storage platforms, security systems, or other enterprise infrastructure.
Experience with advanced FinOps practices such as cost allocation, savings mechanisms, and cost-anomaly management.
Experience communicating technical recommendations, risks, and trade-offs to customers or other stakeholders.

Responsibilities

Design, deploy, secure, maintain, and operate AWS cloud environments.
Assess applications and infrastructure and recommend migration and modernization approaches, including rehosting, replatforming, containerization, and cloud-native services.
Develop reusable Infrastructure as Code modules and deployment patterns using Terraform, AWS Cloud Development Kit, AWS CloudFormation, or comparable tools.
Develop infrastructure and operational automation using Python, Bash, PowerShell, or similar languages.
Design, maintain, and troubleshoot continuous integration and continuous delivery pipelines using GitLab, GitLab Runners, GitHub Actions, or comparable platforms.
Automate build, testing, security scanning, artifact management, deployment, validation, environment promotion, and rollback processes.
Design and support containerized workloads using Docker, Kubernetes, Amazon Elastic Kubernetes Service, Amazon Elastic Container Service, Helm, and GitOps tools such as ArgoCD or Flux.
Implement cloud security controls for identity and access management, encryption, secrets management, network protection, vulnerability management, logging, auditing, and least-privilege access.
Support environments operating under Federal Risk and Authorization Management Program, Federal Information Security Modernization Act, National Institute of Standards and Technology, and customer security requirements.
Collaborate with cybersecurity personnel and system owners on control implementation, compliance evidence, remediation, and continuous monitoring.
Develop monitoring, alerting, dashboards, service health checks, operational runbooks, and incident-response procedures.
Troubleshoot complex cloud infrastructure, Linux, networking, pipeline, container, and application deployment issues.
Participate in incident response, root-cause analysis, corrective actions, backup and recovery, resilience, and disaster-recovery activities.
Apply FinOps practices to improve resource tagging, cost allocation, rightsizing, scheduling, storage use, anomaly detection, and overall cloud efficiency.
Create and maintain technical designs, architecture diagrams, configuration records, implementation plans, engineering standards, and operating procedures.
Participate in code reviews, design reviews, technical planning, Agile activities, and continuous-improvement initiatives.
Provide technical guidance and knowledge sharing to Associate and less-experienced engineers.
Use approved Generative AI tools to support infrastructure development, pipeline engineering, testing, documentation, troubleshooting, and automation while following security and responsible-use requirements.