Application Engineer

Prodigy One, LLC

$113K — $279K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8 years relevant experience
  • Expertise in Kubernetes
  • Experience with ECS within the AWS ecosystem
  • Familiarity with Generative AI (GenAI)
  • Knowledge of Risk Management Framework
  • Bachelor's Degree in a relevant technical field or equivalent experience

Responsibilities

  • Develop automated capabilities for system security evaluation and authorization process
  • Provide engineering support to assess large language models in the ATO process
  • Integrate large language models into existing business processes
  • Master complementary technical fields related to application engineering
  • Collaborate closely with teams to enhance operational workflows

Benefits

  • 10% Employer Contribution to 401K; Immediately Vested
  • 5 Weeks Paid Time Off (PTO) with potential increase to 7 weeks
  • Access to Premium Healthcare, Dental, and Vision plans
  • $2500+ in training funds provided
  • Participation in Referral Company Profit Sharing
Full Job Description
A CLEARANCE IS REQUIRED TO BE CONSIDERED FOR THIS ROLE

Clearance Required: Active TS/SCI clearance with Polygraph
Location: Annapolis Junction, MD

Salary:113K-279K
Compensation and labor categories are defined in accordance with program requirements and government guidelines. Salary within the posted range is determined based on an individual's experience, education, certifications, and overall qualifications, and may be further adjusted based on benefit selections.

Job Description:
  • As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.
Essential Duties and Responsibilities:
  • This position will provide application engineering support to evaluate the utility and effectiveness of large language models in the ATO process. Successful candidates will have significant expertise with development operations, including containerization and container orchestration; and/or significant expertise in integrating large language models within existing business processes. While deep experience in one discipline is sufficient to begin, the candidate must ultimately demonstrate the technical ability and willingness to master the complementary field.
Basic Qualifications:
  • 8 years relevant experience
  • Kubernetes
  • ECS within the AWS ecosystem
  • GenAI experience
  • Risk Management Framework

Education Requirements:
Bachelor's Degree in a relevant technical field (High School +2 additional years experience; Masters Degree -2 years e experience)

Benefits:
  • 10% Employer Contribution to 401K; Immediately Vested
  • 5 Weeks Paid Time Off (PTO) up to 7 weeks
  • Access to Premium Healthcare/Dental/Vision Available
  • $2500+ Training Paid
  • Referral Company Profit Sharing

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