Software Developer

KeporaPotomac, MD

About The Position

Support a team creating component based services to integrate with multiple applications and frameworks. Provide development support for service and application development to enhance and develop mission-based solutions and support other program office software projects.

Requirements

  • U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph.
  • Demonstrated experience developing Python applications with data science libraries.
  • Demonstrated experience with ML frameworks like scikit-learn, SpaCy, TensorFlow, PyTorch, Keras.
  • Demonstrated experience with Natural Language Processing techniques.
  • Demonstrated experience with AWS Services and Cloud based development.
  • Demonstrated experience working with REST services.
  • Demonstrated experience working with SQL, including Postgres.
  • Demonstrated experience with search syntax to include ICQL and Retrieval Ware.
  • Demonstrated on-the-job experience exhibiting analytical skills to assess customer requirements and create innovative solutions.
  • Demonstrated on-the-job experience exhibiting problem solving skills to include debugging and testing web applications.

Nice To Haves

  • Demonstrated experience in the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods or services.
  • Demonstrated experience in design, such as design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models.
  • Demonstrated experience in project management processes, procedures and tools.
  • Demonstrated experience in Project Management concepts and principles.
  • Demonstrated experience in Project planning and management skills, including scope of work, time estimation, and resource assignment.
  • Demonstrated experience in Technology Design, such as generating or adapting equipment and technology to serve user needs.
  • Demonstrated experience in Troubleshooting, such as determining causes of operating errors and deciding what to do about it.
  • Demonstrated experience in Systems Analysis, such as determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Demonstrated experience in Operations Analysis, such as analyzing needs and product requirements to create a design.
  • Demonstrated experience in identifying technology gaps in current capabilities and processes.
  • Demonstrated experience in developing a project plan and workflow based on a project management model.
  • Demonstrated experience in troubleshooting and problem solving both technical and non-technical issues with equipment, systems, networks, and computer operations.
  • Demonstrated experience in conveying technical information to non-technical individuals.
  • Demonstrated experience in troubleshooting and problem-solving issues related to development across multiple security boundaries including both high and low side environments.
  • Experience designing and developing tools that integrate with mission applications.
  • Experience designing and developing collaborative tools, data manipulation techniques, data visualization techniques, and directory services.
  • Designing, building, and maintaining ETL (Extract, Transform, Load) pipelines for data applications.
  • Developing, testing, evaluating, and integrating machine learning models, in particular Large Language Models, into production software.
  • Creating RESTful APls or microservices (using Flask, FastAPI, or Django) to expose data insights or models to other applications.
  • Experience providing the operations and maintenance of operational systems including cloud based activities.
  • Experience modifying existing software to correct errors or to improve performance.
  • Experience optimizing algorithms for efficiency and implementing monitoring tools like Prometheus or MLflow to track model performance, detect drift, and ensure software reliability in production environments.
  • Experience analyzing user needs and software requirements to determine feasibility of design within time and cost restraints for Sponsor consideration.
  • Experience consulting with customers about software system design and maintenance.
  • Experience developing and directing software system testing and validation procedures, programming, and documentation.
  • Experience conferring with other application's systems analysts, engineers, programmers and others to obtain information on project limitations and capabilities, performance requirements and interfaces.
  • Experience correcting errors by making appropriate changes and confirming the desired results are produced.
  • Experience compiling and writing documentation of program development and subsequent revisions, inserting comments in the coded instruction so others can understand the program.
  • Experience writing, updating, and maintaining applications or software packages to handle specific tasks.
  • As needed, consulting with managerial, engineering, and technical personnel to clarify technical aspects of the program(s).

Responsibilities

  • Developing Python applications with data science libraries.
  • Using ML frameworks like scikit-learn, SpaCy, TensorFlow, PyTorch, Keras.
  • Applying Natural Language Processing techniques.
  • Developing with AWS Services and Cloud based development.
  • Working with REST services.
  • Working with SQL, including Postgres.
  • Using search syntax to include ICQL and Retrieval Ware.
  • Assessing customer requirements and creating innovative solutions.
  • Debugging and testing web applications.
  • Designing and developing tools that integrate with mission applications.
  • Designing and developing collaborative tools, data manipulation techniques, data visualization techniques, and directory services.
  • Designing, building, and maintaining ETL (Extract, Transform, Load) pipelines for data applications.
  • Developing, testing, evaluating, and integrating machine learning models, in particular Large Language Models, into production software.
  • Creating RESTful APIs or microservices (using Flask, FastAPI, or Django) to expose data insights or models to other applications.
  • Providing the operations and maintenance of operational systems including cloud based activities.
  • Modifying existing software to correct errors or to improve performance.
  • Optimizing algorithms for efficiency and implementing monitoring tools like Prometheus or MLflow to track model performance, detect drift, and ensure software reliability in production environments.
  • Analyzing user needs and software requirements to determine feasibility of design within time and cost restraints for Sponsor consideration.
  • Consulting with customers about software system design and maintenance.
  • Developing and directing software system testing and validation procedures, programming, and documentation.
  • Conferring with other application's systems analysts, engineers, programmers and others to obtain information on project limitations and capabilities, performance requirements and interfaces.
  • Correcting errors by making appropriate changes and confirming the desired results are produced.
  • Compiling and writing documentation of program development and subsequent revisions, inserting comments in the coded instruction so others can understand the program.
  • Writing, updating, and maintaining applications or software packages to handle specific tasks.
  • Consulting with managerial, engineering, and technical personnel to clarify technical aspects of the program(s).
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