Software Engineer Mid Level

Integrity Technology•Linthicum, MD

19h

About The Position

ITC is a Woman Owned Small Business delivering exceptional consultation to the U.S. Government in Systems/Software Engineering, Cybersecurity Solutions, Mission Operations/INTEL Analysis, and Management Services in order to enable our customers to solve the most challenging problems. With continued growth comes opportunity, and we are currently searching for a Top-Secret SCI with polygraph-cleared Mid-Level Software Engineer.

Requirements

Must already possess an active TS/SCI with Full Scope Polygraph in order to be considered
Seven (14) years’ experience as a SWE in programs and contracts of similar scope, type and complexity is required.
Bachelor’s degree in Computer Science ore related discipline from an accredited college or university is required.
Four (4) additional years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
Experience in Python
Experience in docker and/or kubernetes

Nice To Haves

AWS Machine Learning

Responsibilities

Develops, maintains, and enhances complex and diverse software 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 tradeoffs, 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.
Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness.
Monitor and improve existing data science tools in support of transition from development to production systems.
Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, NumPy, Pandas, and Scikit-learn.
Train, test, track and curate models using standard tools and practices.
Integrate GitOps for continuous integration and deployment of models using Docker scaling.
Use AWS services such as EC2, S3, and RDS for building and deploying applications.
Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain the Security Management/Monitoring services and capabilities within the Agency IT Enterprise.
Document all processes and code; provide comprehensive reports on the completed tasks.