Job description

At NetSage, we are more than a government contractor—we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page. Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact. Job Description: We are seeking a Senior Cybersecurity Artificial Intelligence (AI) Developer to develop innovative software and AI-enabled capabilities that improve the speed and effectiveness of cyber operations. In this role, you will work directly with mission operators to identify operational challenges, rapidly prototype solutions, and develop production-ready applications whilst leveraging cutting-edge corporate AI resources. The ideal candidate for this position will combine strong Python and software engineering expertise with a solid cybersecurity foundation and experience applying AI and data analytics to real-world mission objectives. Please consider applying if you meet the following qualifications. Required Qualifications: TS/SCI with polygraph security clearance. A Bachelor of Science (B.S.) degree in Computer Science or a related field and eight (8) years of relevant experience is required. A Doctoral degree (PHD) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of experience is also acceptable. Advanced proficiency in Python for application development, scripting, and data manipulation. Strong foundation in software engineering principles and development methodologies. Understanding of fundamental cybersecurity concepts, defensive cyber operations, and common cyber threats and attack techniques. Desired Qualifications: Experience developing and deploying AI solutions and Large Language Models (LLMs) in production environments. Background in data engineering, data science, machine learning, or advanced analytics. Experience developing Splunk dashboards, searches, applications, or data ingestion pipelines. Experience deploying and managing applications using Kubernetes or Rancher. Experience designing and orchestrating data workflows with Apache Airflow. Knowledge of secure software development and DevSecOps practices.

Requirements

Must-haves

TS/SCI with polygraph security clearance.
Advanced proficiency in Python for application development, scripting, and data manipulation.
Strong foundation in software engineering principles and development methodologies.
Understanding of fundamental cybersecurity concepts, defensive cyber operations, and common cyber threats and attack techniques.

Nice-to-haves

Experience developing and deploying AI solutions and Large Language Models (LLMs) in production environments.
Background in data engineering, data science, machine learning, or advanced analytics.
Experience developing Splunk dashboards, searches, applications, or data ingestion pipelines.
Experience deploying and managing applications using Kubernetes or Rancher.
Experience designing and orchestrating data workflows with Apache Airflow.
Knowledge of secure software development and DevSecOps practices.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmachine learningkubernetes

Platform: greenhouse
Effort: quick