Security-Cleared Junior Software Engineer AWS/AI Dashboards

Momentum Engineering, Inc.; Maryland; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

11 paid holidays

3 weeks PTO

Company sponsored group medical plan

Company paid dental, vision, life

STD/LTD plans

Job summary

Momentum Engineering, Inc. seeks a junior Software Engineer to develop graphical user interfaces and dashboards, deploy and manage applications in an AWS cloud environment, integrate new functionality with established tools through tech transfer initiatives, automate key workflows, and integrate artificial intelligence (Al) and machine learning (ML) models into workflows.

The ideal candidate will be a versatile problem-solver with a strong foundation in software development principles and a

Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph.
• Bachelor's degree in Computer Science or related discipline.
• Four (4) years of SWE experience may substitute for a bachelor's degree.
• AWS: Foundational understanding of AWS core services (EC2, S3, Lambda).
• Automation/AI: scripting for automation (Python preferred).
• Awareness of AI/ML concepts; tools: Git (version control).

Responsibilities

• Develop and maintain user-friendly GUIs and dashboards.
• Design, deploy, and manage applications and infrastructure in AWS.
• Integrate new features into existing tools.
• Collaborate with cross-functional teams throughout the SDLC.
• Write clean, well-documented, testable code.
• Design, implement, and maintain automated workflows.
• Integrate AI/ML models into existing systems to improve decisions.
• Monitor and optimize automated workflows and AI/ML model performance.

Skills

Problem solving

Quick learner

Communication skills

Willingness to learn AI/ML

Education

Bachelor's degree in Computer Science or related

Tools

Git

Job description

Momentum Engineering, Inc. seeks a junior Software Engineer to develop graphical user interfaces and dashboards, deploy and manage applications in an AWS cloud environment, integrate new functionality with established tools through tech transfer initiatives, automate key workflows, and integrate artificial intelligence (Al) and machine learning (ML) models into workflows.

The ideal candidate will be a versatile problem-solver with a strong foundation in software development principles and a