Mid-Level Full Stack AWS Engineer

Nyla Technology Solutions

Corridor North (MD)

On-site

USD 151,000 - 178,000

Full time

4 days ago
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Job summary

Nyla Technology Solutions in Annapolis Junction, MD seeks a versatile Full-Stack AWS & AI/ML Software Engineer to deliver high-impact solutions. You’ll build intuitive GUIs and dashboards, deploy and manage applications in AWS, and drive automation and AI/ML integration to enhance operational decision-making.

The role requires strong problem-solving skills, hands-on experience with cloud architectures, and the ability to transfer capabilities into existing tools, ensuring seamless tech handoffs

Qualifications

  • Experience building dashboards and GUIs.
  • Proficiency with AWS cloud services.
  • Ability to integrate AI/ML models into systems.

Responsibilities

  • Build intuitive graphical user interfaces and dashboards.
  • Deploy and manage applications on AWS.
  • Lead tech transfer to integrate new capabilities into existing tools.
  • Automate critical workflows.
  • Embed AI/ML models to improve operational decisions.

Skills

Full-stack development
AWS
AI/ML integration

Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We are seeking a versatile Full-Stack AWS & AI/ML Software Engineer to join our team in Annapolis Junction, MD. In this role, you’ll be a core problem-solver delivering high-impact solutions. You will focus on building intuitive graphical user interfaces and dashboards, deploying and managing applications in an AWS cloud environment, executing tech transfer initiatives to integrate new capabilities into established tools, automating critical workflows, and embedding AI/ML models into active systems to enhance operational decision-making.

The annual base salary range for this role is $151,000-$178,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, and education, and/or skill level, among other things.

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