Application Developer-Senior

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 motivated Application Developer to build software capabilities that help analysts access, understand, and address complex mission challenges. In this role, you will collaborate directly with mission stakeholders, data scientists, and analysts to understand operational needs and transform them into end-to-end technical solutions deployed within the customer’s enterprise environment. The ideal candidate for this position will be a versatile software developer with strong Python, Java, familiarity with mission data repositories and analytic platforms, and an interest in applying modern data science, machine learning (ML), and AI technologies to improve analyst workflows. 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. Also acceptable are 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.

Strong software development experience using Python, Java, and JavaScript.

Experience with PySpark and processing large or distributed datasets.

Experience developing and integrating RESTful APIs.

Experience with Elasticsearch and Git-based source code repositories.

Experience developing applications that integrate front-end interfaces, back-end services, and enterprise data sources.

Knowledge of customer enterprise architecture, mission data flows, corporate tools, and data repositories.

Desired Qualifications:

Experience with Docker and Kubernetes.

Familiarity with analyst workflows.

Experience developing and optimizing database queries.

Experience working with data science and machine learning technologies.

Familiarity with Artificial Intelligence (AI), generative AI, and Large Language Models (LLMs).

Experience integrating data science or ML models into production applications.