The Role
As a Senior Software Engineer, develop and enhance software systems, implement data pipelines, and integrate machine learning analytics to deliver efficient solutions.
Summary Generated by Built In
Join ClearEdge and be a part of a dynamic team that solves some of the DoD’s most complex technical challenges. Every day, ClearEdge empowers our customers in government and industry with innovative, data-driven solutions.
Check out our extremely competitive benefits package at www.clearedgeit.com/careers/, which includes a $10k annual training/education benefit, 10% 401k contribution, health and technology allowance, and access to a state-of-the-art technology lab. We also offer monthly TechConnect and DeepDive collaboration sessions with our entire technical staff.
Your Mission
As a Senior Software Engineer, you will develop, maintain, and enhance complex and diverse software systems, working individually or as part of a team. You will implement scalable data pipelines, refine existing processes, and integrate machine learning analytics to improve efficiency and accuracy. Your expertise in software development methodologies, cloud environments, and security tools will drive mission-critical solutions that support the Agency IT Enterprise.
You Will Excel If You Are:
- Experienced in Python development and data pipeline implementation
- Proficient in designing, training, and deploying machine learning models
- Skilled in containerization tools like Docker and Kubernetes
- Familiar with AWS services and cloud-based application deployment
- Detail-oriented with strong problem-solving abilities
- Able to collaborate effectively in a team environment
- Capable of documenting processes and providing thorough reports
A Day In The Life Of:
- Developing and refining data pipelines for improved efficiency and accuracy
- Enhancing and maintaining data science tools for transition to production environments
- Designing and implementing ML analytics using libraries like PyTorch, NumPy, Pandas, and Scikit-learn
- Training, testing, tracking, and curating machine learning models
- Integrating GitOps for continuous integration and deployment of models using Docker scaling
- Leveraging AWS services such as EC2, S3, and RDS for application development and deployment
- Enhancing security monitoring services by integrating model and tool outputs into CND systems
- Documenting processes, code, and providing comprehensive reports on completed tasks
Must Have
- TS/SCI with polygraph. This polygraph must have been completed within the last 6 years.
- Fourteen (14) years of experience as a Software Engineer on programs and contracts of similar scope, type, and complexity
- Bachelor’s degree in Computer Science or related discipline from an accredited college or university (Four (4) additional years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree)
- Experience with Python
- Experience with Docker and/or Kubernetes
Nice to Have:
- Experience with AWS
- Experience with Machine Learning
About us:
We are an experienced advanced analytic development company providing Cyber solutions to current and emerging missions.
Our Core Values of Honesty, Integrity, Loyalty, Fairness, Respect, Responsibility, and Accountability drive our mission and vision and are the heart of what we do each day. We combine our Core Values with the three key elements of people, technology, and integrity to repeatedly deliver stellar results within our primary competencies.
ClearEdge is also pleased to share that we have recently expanded our prime and subcontract presence into new cyber markets!
If this position does not fit your skillset, please visit our Careers page to explore our current openings, or contact a ClearEdge recruiter at careers@clearedgeit.com. ClearEdge is an equal opportunity employer.
Top Skills
AWS
Docker
Kubernetes
Numpy
Pandas
Python
PyTorch
Scikit-Learn
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The Company
What We Do
ClearEdge is a mission-driven technology thought leader grown out of the Intelligence Community that provides software engineering, big data, cloud, data analytics, data visualization, and data science solutions and services. As a small business, we are personally committed to responding to our customers' requirements by attracting and retaining only top-tier engineers and field experts.
