Principal Software Engineer
Confirmed live in the last 24 hours
Arsiem Corporation

11-50 employees

Provides advanced IT and cybersecurity solutions to government agencies
Company Overview
ARSIEM Corporation stands out as a trusted partner to government agencies, offering reliable and advanced technical solutions, with a particular focus on cybersecurity. Their commitment to their employees and clients is evident in their experienced and qualified workforce, which consistently delivers timely IT solutions. This, coupled with their dedication to national service, positions ARSIEM as a leader in their industry.
Cybersecurity
Consulting

Company Stage

N/A

Total Funding

N/A

Founded

2013

Headquarters

Baltimore, Maryland

Growth & Insights
Headcount

6 month growth

4%

1 year growth

7%

2 year growth

28%
Locations
Odenton, MD, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Java
Hadoop
Linux/Unix
Data Analysis
CategoriesNew
Backend Engineering
Full-Stack Engineering
Security Engineering
Software Engineering
Requirements
  • Bachelor's degree plus 11 years of relevant experience or Master's degree plus 9 years of relevant experience.
  • An Associate's degree plus 13 years of relevant experience or high school diploma/GED plus 15 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
  • Computer Science (CS) degree or related field
  • TS/SCI clearance with polygraph
  • Experience with Java, Python, C, and Query Time Analytics (QTA)
  • Customer GHOSTMACHINE analytic development
  • Experience with Hadoop (MapReduce and Accumulo)
  • Experience with Linux
Responsibilities
  • Use leading edge technologies to access data across many different software platforms, computing environments, and employ multiple software languages to develop analytics.
  • Coordinate local development efforts with Capabilities development team and advise on best paths forward when working with disparate systems.
  • Assisted in developing a holistic analytic approach of analysis by correlating and collating information from multiple content repositories.