Platform Engineer

Essential Job Responsibilities

• The ideal candidate is a strong systems integrator with an eye for opportunity to enhance, optimize, or increase robustness of an existing code base.  
• The candidate should have experience with infrastructure as code and be able to leverage modern tools to define, build and manage virtual infrastructure in the cloud.  
• Design and implement core architecture and capabilities for software from prototype to operational applications.
• Other duties as assigned.

Minimum Qualifications

• 5+ years of experience with Bachelors in related field; OR 3 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 9 years relevant experience.
• Must have experience developing and deploying infrastructure in AWS.
• Experience with Kubernetes (or vendor flavor of Kubernetes), including cluster administration and troubleshooting.
• Experience with container (Docker/Podman) build tooling, Kubernetes automation tools (e.g. Helm, Kustomize, Flux CD, etc.)
• Have a solid understanding of Linux systems, hosts, networks, security, applications and proficiency in shell scripting (Shell/Bash).
• Excellent problem-solving skills and the ability to identify and troubleshoot complex issues
• Excellent oral and written communication skills.
• Must be willing to travel to San Antonio, TX on average 3-4 days every three months. 
• Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.

Preferred Requirements

• Current Secret or TS/SCI level security clearance preferred. 
• 5+ years of experience in Platform Engineering or Software Development (Python or Go) on a Posix-style (Linux or Mac OS) platform.
• Experience with writing automation in CI/CD tooling (e.g. Gitlab-CI, Travis-CI, Jenkins, etc.).
• Understanding of agile software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github, Gitlab, etc.)
• Experience with puppet, ansible, maven, virtualization (ovirt, proxmox, vmware, etc).
• Prior experience or familiarity with DISA’s Big Data Platform or other Big Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc..) is a plus.