Senior Software Engineer - Machine Learning & Cloud Technologies

Description

This senior role focuses on building, maintaining and improving large and varied software systems. You can work alone or as part of a team on solutions that support the company's work.

The work covers data science tooling, machine learning analytics, cloud deployment and computer network defense.

Responsibilities

• Build and rework data pipelines at scale to make them more efficient and correct.
• Monitor and improve existing data science tools so that work moves smoothly from development into production.
• Create and enhance machine learning analytics in Python using PyTorch, NumPy, Pandas and Scikit-learn.
• Handle models across their lifecycle, including training, testing, tracking and curation, using industry-standard tools and practices.
• Set up GitOps-based continuous integration and deployment of models with Docker and Kubernetes.
• Use AWS services such as EC2, S3 and RDS to build and deploy applications.
• Connect model and tool outputs to Computer Network Defense systems to strengthen security management and monitoring.
• Document all processes and code, and write thorough reports on completed tasks.

Requirements

• Required: hold an active TS/SCI clearance with a polygraph.
• Required: experience with Python.
• Required: experience with Docker and/or Kubernetes.
• Required: either 14 years of software engineering experience on programs and contracts of similar scope, type and complexity, or a bachelor's degree in Computer Science or a related field plus 4 years of additional software engineering experience.
• Required: a bachelor's degree in Computer Science or a related discipline from an accredited college or university. Alternatively, 4 years of additional software engineering experience on projects with similar processes can replace the degree.
• Desired: experience with AWS.
• Desired: experience with machine learning.

Conditions

Full-time, regular position with no travel required.

You will split your time 50% at the Laurel site and 50% at the Linthicum Heights, MD site.

The role depends on funding and may not be filled right away. It reflects openings the company regularly has, and applicants may be considered for other roles.

Salary depends on factors such as location, Federal Government contract labor categories and wage rates, relevant prior experience, specific skills and competencies, education and certifications.

The proposed salary range is $131,800 - $290,000.

Benefits

• Flexible time off so you can take the time you need.
• Access to robust learning resources to support your career goals.
• Comprehensive benefits including healthcare, wellness, financial, retirement, family support, continuing education and time off.