CTG, Inc.
Job description:
We are looking for a
Cloud Platform Engineer
with experience in Cloud technology (AWS), programming skills in languages like Python or Go, and a strong Linux foundation. Will significantly contribute to the development of custom software components and integration of open-source code to address complex 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 a great team of other strong engineers. 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: Security Clearance - A current Secret U.S. Government Security clearance is required 5+ years of experience in Platform Engineering or Software Development (Python or Go) 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) 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 able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. However, flexibility is essential to accommodate any changes in the schedule. Preferred Requirements: Prior experience or familiarity with DISAs Big Data Platform or other Big Data systems (e.g. Clouderas Distribution of Hadoop, Hortonworks Data Platform, MapR, etc..) is a plus. Experience with CI/CD pipelines (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)
Cloud Platform Engineer
with experience in Cloud technology (AWS), programming skills in languages like Python or Go, and a strong Linux foundation. Will significantly contribute to the development of custom software components and integration of open-source code to address complex 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 a great team of other strong engineers. 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: Security Clearance - A current Secret U.S. Government Security clearance is required 5+ years of experience in Platform Engineering or Software Development (Python or Go) 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) 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 able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. However, flexibility is essential to accommodate any changes in the schedule. Preferred Requirements: Prior experience or familiarity with DISAs Big Data Platform or other Big Data systems (e.g. Clouderas Distribution of Hadoop, Hortonworks Data Platform, MapR, etc..) is a plus. Experience with CI/CD pipelines (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)