Principal Software Engineer

Job Description

GliaCell is seeking a Principal Software Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.

Responsibilities

• Devise strategies to extract meaning and value from structured and unstructured data;
• Leverage statistical methods and/or machine learning to discover patterns and behaviors of entities;
• Use query and visualization tools, such as DataXplorer and GMAE, to present question focused datasets in a story-like manner;
• Work with various domains of metadata to develop new methodologies and techniques for automated data characterization;
• Analyze and develop requirements to support the characterization and ingestion of new and existing data types;
• Collaborate with customer teams to understand direct mission needs and requirements;
• Devise strategies to extract meaning and value from structured and unstructured data;
• Collaborate with customer teams to understand mission needs;
• Serve as the technical lead of multiple software development teams;
• Select the software development process in coordination with the customer and system engineering;
• Ensure quality control of all developed and modified software;
• Delegate programming and testing responsibilities to one or more teams and monitor their performance.

Key Requirements

• Possess an active or rein-statable TS/SCI with Polygraph security clearance.
• Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
• A 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.

Qualifications

• Knowledgeable with data enrichment/conversion methods;
• Familiar with data ontologies/schemas;
• Strong knowledge of structured data types (XML, CSV, JSON);
• Database experience;
• Java, Python, Analytic development experience;
• Working knowledge of NiFi;
• Experience with predictive analytics, machine learning, and data mining;
• Skilled with data flows, Pig scripting, Hadoop MapReduce, and various analytic tools;
• Skilled working with development and SE teams, other stakeholders agencies, and leadership;
• Experience working with cloud service providers and data stewards;
• Demonstrated experience in network metadata processing, manipulation, and analysis in support of intelligence analysis.

Desired Skills

• Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data;
• Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes of data;
• Experience employing combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets;
• Skilled with data indexing and analytic development;
• Experience working with cloud service providers and data stewards;
• Demonstrated experience in network metadata processing, manipulation, and analysis in support of intelligence analysis.