Senior Cloud Software Engineer

GliaCell Technologies•Annapolis Junction, MD

1d•$200,000 - $280,000

About The Position

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. GliaCell is seeking a Senior Cloud 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. The team is looking for someone that is knowledgeable with data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and has database experience. Java, Python, analytic development experience, and working knowledge of NiFi are highly desired.

Requirements

Possess an active or rein-statable TS/SCI with Polygraph security clearance.
Eight (8) years’ experience software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
U.S. Citizenship.
Works well independently as well as on a team.
Strong communication skills.
Cloud Developer Certification is required.
AWS Certified Developer-Associate
AWS DevOps Engineer Professional
Certified Kubernetes Application Developer (CKAD)
Elastic Certified Engineer
(Possession of a Cloud Developer certification is required and will be verified as part of the interview or offer process.)
Minimum of 6 recent years of development experience.

Nice To Haves

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; devise strategies to extract meaning and value from structured and unstructured data; and collaborate with customer teams to understand mission needs.
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.
Develop simple data queries for existing or proposed databases or data repositories.