OVERVIEW:
We are looking for a DevOps Engineer with prior experience with Big Data Solutions, Cloud technology, and strong working knowledge of Linux. Passionate about the concept of infrastructure as code and leverages modern tools to define, build and manage virtual infrastructure in the cloud. Will work on-site with the customer on a regular basis with some rotational support worked in currently.
GENERAL DUTIES:
- The ideal candidate believes in exploring alternatives and quickly prototyping to validate hypothetical architectures or solutions.
- 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, implement, and maintain 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.
REQUIRED QUALIFICATIONS:
- 5+ years of experience in DevOps Engineering or Software Development (Java preferred) and 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.
- Have a strong working knowledge of Linux systems, hosts, storage, networks, security, applications and proficiency in shell scripting (Shell/Bash, JavaScript, Python).
- Must have a Security+ Certification
- Excellent oral and written communication skills.
- Ability to work on customer site in Columbia, MD daily. Building a rotational shift to share the support, which is subject to change.
DESIRED QUALIFICATIONS:
- TS/SCI with CI Polygraph preferred
- Must have experience with big data technologies such as Hadoop and NoSQL databases.
- Experience with AWS is highly desired.
- Prior experience or familiarity with Unified Platform (UP) Big Data Platform (formerly owned by DISA) 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, YouTrack, etc.)
CLEARANCE:
