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Booz Allen Hamiltonposted 3 months ago
$84,600 - $193,000/Yr
Full-time • Mid Level
Chantilly, VA
Professional, Scientific, and Technical Services
Resume Match Score

About the position

Engineering to make a system more resilient and efficient frees up time and money to build more capabilities. Whether you come from a background in network engineering, systems administration, or software development-if you have a passion for making systems better, we need you! As a site reliability engineer on our team, you'll work with the Intelligence Community on the development of more robust systems by building a resilient infrastructure. You'll build in redundancy, implement monitoring tools, and automate wherever possible. You'll reduce toil by scripting routine tasks and automating self-repair. This is your chance to leverage your expertise in cloud technologies and system engineering while assisting junior engineers and broadening your knowledge base. Work with us as we help protect national security. Join us. The world can't wait.

Requirements

  • 5+ years of experience deploying, configuring, and maintaining Linux server systems
  • 5+ years of experience designing, developing, deploying, or testing in Amazon Web Services (AWS) and using tools, including EC2, S3, ELBs, RDS, VPCs, security groups, CloudTrail, CloudWatch, or IAM permissions
  • 5+ years of experience with Automation, Infrastructure as Code or Configuration as Code tools such as Terraform, Puppet or Ansible
  • 5+ years of experience with Kubernetes and Docker
  • Experience creating solutions to complex problems within a collaborative team environment
  • Knowledge of Enterprise Architectural Frameworks
  • Ability to pay strict attention to detail, and apply critical thinking to develop innovative solutions
  • TS/SCI clearance with a polygraph
  • HS diploma or GED
  • Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire date

Nice-to-haves

  • Experience architecting solutions on Azure using cloud native services, such as AKS, Azure Functions for serverless, or AutoScaling
  • Experience with Machine Learning or AI Solutions

Benefits

  • health insurance
  • life insurance
  • disability insurance
  • financial benefits
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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