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DevOps Engineer

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. Design and implement core architecture and capabilities for software from prototype to operational applications. Must understand software engineering fundamentals, OO programming, relational and time series databases, scripting knowledge and a basic level of development operations (DevOps) skill set. Apply experience working within an AGILE software development life cycle, including requirements creation, sprint planning, and grooming, etc. Requirements:  Security Clearance: A current Secret level U.S. government security clearance is required and therefore all candidates must be a U.S. Citizen.   Required Skills: 5-10 years of experience in DevOps Engineering or Software Development (Java preferred). Must have experience with Cloud related technologies such as Hadoop and NoSQL databases. Must have prior experience with Distributed Computing and Big Data. Have a solid understanding of Linux systems, hosts, networks, security, applications and proficiency in shell scripting (Shell/Bash, JavaScript, Python). Excellent oral and written communication skills. Desired Skills: Experience with AWS is highly desired. BA/BS Degree in Computer Science, Electrical Engineering, Information Systems, or similar is highly desired. Certifications to meet the DOD 8570 IAT certifications (i.e. Security+ or higher level). Prior experience or familiarity with our Big Data Platform is a plus. Data parsing/transforming techniques to include JSON, XML, CSV formats. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) 16169
Salary Range: NA
Minimum Qualification
5 - 7 years

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