Base2 Solutions
Job Description
Base-2 Solutions is seeking a DevOps System Engineer who will provide direct support to engineering platforms and microservices used to develop critical applications to modernize how data is leveraged across multiple DoD customers. Some responsibilities will include the following: Developing infrastructure, task automation, provision managed services, and leveraging Python, Ansible, and Terraform programming languages. Patching, hardening, and maintaining compliance of RHEL Install, configure, and provide performance support for Kubernetes, Docker, NiFi, and cloud metrics collection tools. Managing CI/CD pipelines to automate building, testing, and deploying code utilizing GitLab. Managing commercial cloud computing platforms (AWS). Communicate and collaborate effectively with other team members, as well as with stakeholders. Education & Experience Requirements
9 Years of experience in Software or Systems Engineering/Administration or roles or a highly related field of work with similar scope and responsibilities.
A Bachelor's degree may be substituted for 4 years of experience and a Master's Degree may be substituted for 6 years of experience.
Required Qualifications
Strong PaaS experience. Experience configuring and managing LINUX operating systems. Experience investing and resolving technical issues. Active Security certification or other 8570 Compliant certifications. Experience with Automate infrastructure provisioning and CI/CD piplines using Terraform, Ansible, Jenkins, and GitLab CI. Experience designing and implementing scalable, fault-tolerant solutions using AWS services including EC2, ECS/EKS, S3, RDS, and CloudFormation. Experience deploying and managing containerized applications in Kubernetes clusters using Helm, Kustomize, and custom manifests. Desired Qualifications
Experience working in an Agile software development environment. Experience with using Jira and Confluence. Experience with DevOps pipeline and optimizing code. Knowledge of scripting languages such as Ruby, Python, and/or Bash. Knowledge of Docker or other container tools.
Base-2 Solutions is seeking a DevOps System Engineer who will provide direct support to engineering platforms and microservices used to develop critical applications to modernize how data is leveraged across multiple DoD customers. Some responsibilities will include the following: Developing infrastructure, task automation, provision managed services, and leveraging Python, Ansible, and Terraform programming languages. Patching, hardening, and maintaining compliance of RHEL Install, configure, and provide performance support for Kubernetes, Docker, NiFi, and cloud metrics collection tools. Managing CI/CD pipelines to automate building, testing, and deploying code utilizing GitLab. Managing commercial cloud computing platforms (AWS). Communicate and collaborate effectively with other team members, as well as with stakeholders. Education & Experience Requirements
9 Years of experience in Software or Systems Engineering/Administration or roles or a highly related field of work with similar scope and responsibilities.
A Bachelor's degree may be substituted for 4 years of experience and a Master's Degree may be substituted for 6 years of experience.
Required Qualifications
Strong PaaS experience. Experience configuring and managing LINUX operating systems. Experience investing and resolving technical issues. Active Security certification or other 8570 Compliant certifications. Experience with Automate infrastructure provisioning and CI/CD piplines using Terraform, Ansible, Jenkins, and GitLab CI. Experience designing and implementing scalable, fault-tolerant solutions using AWS services including EC2, ECS/EKS, S3, RDS, and CloudFormation. Experience deploying and managing containerized applications in Kubernetes clusters using Helm, Kustomize, and custom manifests. Desired Qualifications
Experience working in an Agile software development environment. Experience with using Jira and Confluence. Experience with DevOps pipeline and optimizing code. Knowledge of scripting languages such as Ruby, Python, and/or Bash. Knowledge of Docker or other container tools.