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TKO STO SWE-2


Tailored Access LLC


Location

Annapolis Junction, MD | United States


Job description

Description

The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade- offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Requirements

TKO is seeking a Software Engineer to support a highly visible cyber sensor and analytic modernization program. The candidate will work with a team to analyze and characterize large data sets, create data visualizations, and identify anomalous/interesting behavior. The successful candidate will have experience with analysis in the cyber domain and discovery operations, and have experience with algorithm design and development in cloud environments.

Required skills:
• Knowledge of cyber data collection, data flow and extraction techniques such as pcap, network logs, netflow
• Expertise with python (including relevant data science libraries) and data visualization tools (e.g., Kibana, Tableau)
• Experience with machine learning techniques on both structured and unstructured data (I.e. clustering, topic modeling)
• Familiarity with Spark or other distributed analytic platforms


Job tags

Remote job


Salary

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