Cloud Engineer

4 weeks ago


Melbourne, Florida, United States Peraton Full time

Peraton is seeking a senior-level Cloud Engineer to join a team of Platform Engineers. In this role, you will be building environments using DevSecOps industry standard technologies such as Kubernetes and/or AWS EKS and will be proficient in Docker and/or Podman.

You'll also be developing CI/CD pipelines to facilitate deployments to these environments. Therefore, a strong background in software development in Linux environments is preferred.

The successful candidate will have a strong working background in developing and operating cloud-based infrastructure for Government clients.

Responsibilities:

  • Formulate and implement automation solutions to support application and systems monitoring in an AWS cloud-based system.
  • Provide DevSecOps support for the implementation and maintenance of Dev, Test and Production Linux environments.
  • Design cloud architecture and complete plans and specifications to develop solutions.
  • Collaborate with product managers and engineers to develop specifications for new cloud-based products/services, applications, and solutions.
  • Design, build and deploy containerized software solutions.
  • Design, build, and maintain CI/CD pipelines and processes for automating deployments.
  • Design and develop software applications in an Agile environment.
  • Design and develop Infrastructure as Code.

Qualifications:

  • Active TS/SCI Clearance.
  • Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
  • A current/valid Security+ certification (or equivalent DOD 8570 IAT II Level Certification) or ability to obtain the certification within 30 days of hire.

Application programming languages and build principles using C, C++ or Java.

Developing software in a Linux environment.

Scripting using Bash, Python etc.

Developing Infrastructure as Code using Ansible, Terraform, and Helm.

Developing microservices.

Building new test automation.

Containerization concepts using Docker or Podman.

Developing CI/CD pipelines specifically for Gitlab (using Gitlab Runners).

Deployment strategies using Helm.

ELK/EFK, Elasticsearch, Logstash, Kibana, Fluentd.

AWS Console, AWS Services such as EC2, S3, and EKS, and Cloud Computing.

Certificate Authorities and PKI.

Kubernetes.

Helm.

Docker or Podman.

Artifactory.


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