N3012 Software Developer (Systems Software) - Chantilly VA (23-37615-Open)

Janus Soft Inc.; Chantilly (VA); On-site; USD 80,000 - 110,000; Full time

Job summary

Janus Soft Inc. is looking for a Software Developer (Systems Software) in Chantilly, VA, to design and engineer component-based services for critical intelligence applications.

The role involves cloud-based development, building robust ETL pipelines, and integrating cutting-edge machine learning models into production software. If you're skilled in Python, AWS, and advanced SQL, and thrive in a dynamic environment, we'd love to have you on our team.

Qualifications

• Active TS/SCI with Full Scope Polygraph security clearance.
• Demonstrated experience with Python and data science libraries.
• Hands-on experience with machine learning frameworks.
• Proficient in Natural Language Processing techniques.
• Experience with cloud-based development environments.

Responsibilities

• Architect and engineer component-based services for intelligence applications.
• Design, build, and maintain ETL pipelines for data applications.
• Integrate machine learning models into production software.
• Create RESTful APIs and microservices.

Skills

Python applications development

Machine Learning frameworks (scikit-learn, SpaCy, TensorFlow, PyTorch, Keras)

Natural Language Processing techniques

AWS Services

REST services and advanced SQL (Postgres)

Analytical problem solving

ETL pipeline design and building

Job description

Software Developer (Systems Software) - Chantilly VA

Software Developer (Systems Software)

Job Description

Janus Soft is seeking an elite, mission-focused Software Developer to architect and engineer component-based services that integrate seamlessly across multiple intelligence community applications and frameworks. In this critical role, you will go beyond traditional software development to deliver high-impact, mission-based solutions.

You will be at the forefront of cloud-based development and data science, designing, building, and maintaining robust ETL (Extract, Transform, Load) pipelines for highly complex data applications. Your work will directly involve testing, evaluating, and integrating cutting‑edge machine learning models—specifically Large Language Models (LLMs)—into production software. By creating RESTful APIs and microservices, you will expose vital data insights that empower decision-makers. If you thrive in a fast‑paced environment where you can optimize algorithms, troubleshoot across high and low security boundaries, and consult directly with stakeholders to bridge the gap between technical potential and mission needs, we want you on our team.

Mandatory Skills

Security Clearance: Active TS/SCI with Full Scope Polygraph.

Programming & Data Science: Demonstrated experience developing Python applications utilizing data science libraries.

Machine Learning: Hands‑on experience with ML frameworks including scikit‑learn, SpaCy, TensorFlow, PyTorch, and Keras.

Artificial Intelligence: Proven expertise with Natural Language Processing (NLP) techniques.

Cloud Architecture: Demonstrated experience with AWS Services and cloud‑based development environments.

Web Services & Databases: Deep understanding of REST services and advanced SQL (specifically Postgres).

Search Technologies: Familiarity and experience with search syntax, specifically ICQL and Retrieval Ware.

Analytical Problem Solving: Strong on‑the‑job analytical skills to assess customer requirements, debug and test web applications, and engineer innovative solutions.

Desired Skills

Advanced Technical & AI Capabilities

Experience integrating Large Language Models (LLMs) and other machine learning models into production software.

Proficiency in creating RESTful APIs or microservices using Flask, FastAPI, or Django to expose models and data insights.

Experience designing and building ETL pipelines, collaborative tools, and data visualization techniques.

Familiarity with optimizing algorithms for efficiency and implementing monitoring tools like Prometheus or MLflow to track model performance and detect drift.

Experience troubleshooting and solving issues related to development across multiple security boundaries (high and low side environments).