Principal Software Engineer

GliaCell Technologies•Annapolis Junction, MD

1d•Hybrid

About The Position

GliaCell is seeking a Principal Software Engineer to join one of our subcontracts. This is a full-time position supporting a U.S. Government customer by providing technical expertise to sustain critical mission-related software and systems on a large government contract. The role involves working with the latest technologies, a personalized training program, and mission-focused customers, surrounded by a team of brilliant engineers. GliaCell Technologies specializes in Software & System Engineering within Enterprise and Cyber Security, delivering stable and reliable software solutions using Agile principles. Their Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. They also provide solutions in CND, CNE, and CNO, including Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Advanced Persistent Threat prevention.

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.
Bachelor’s degree in Computer Science or related discipline from an accredited college or university.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
U.S. Citizenship.
Works well independently as well as on a team.
Strong communication skills.

Nice To Haves

Knowledgeable with data enrichment/conversion methods.
Familiar with data ontologies/schemas.
Strong knowledge of structured data types (XML, CSV, JSON).
Database experience.
Java experience.
Python experience.
Analytic development experience.
Working knowledge of NiFi.
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.
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.
Knowledge of 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.

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.
Recommend new technologies and processes for complex software projects.
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.