Cloud Platform Engineer with AWS, Python (Security Clearance)

We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS), Python programming skills, and a strong Linux foundation. Will significantly contribute to the development of custom software components and integration of open-source code to address complex time series analysis problems through the use of cutting edge Big Data / Cloud technology. As a result, the candidate will be expected to work autonomously identifying and solving problems quickly while working toward broader strategic goals set by Architects on the team. Work is performed in a hybrid role with some work on customer site in San Antonio.

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.

Minimum Qualifications

• 5+ years of experience in Platform Engineering or Software Development (Python or Java) 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 infrastructure in AWS.
• Have a solid understanding of Linux systems, hosts, networks, security, applications and proficiency in shell scripting (Shell/Bash).
• Excellent oral and written communication skills.
• Must be able to support some work on customer site in San Antonio.
• Must have a DoD 8140 / 8570 compliance certification (SSCP, Security+, CCNA-Security, or GSEC certification) and baseline certification (e.g. ACAS, AWS, Kubernetes, etc.)
• Must be able to work on customer site 25% of the time.

Desired Skills (Optional)

• Prior experience or familiarity with DISA s Big Data Platform or other Big Data systems (e.g. Cloudera s Distribution of Hadoop, Hortonworks Data Platform, MapR, etc..) is a plus.
• Experience with Kubernetes (or vendor flavor of Kubernetes)
• Experience with CI/CD pipelines (e.g. Gitlab-CI, Travis-CI, 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)

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