What are the responsibilities and job description for the Prototype Software Engineer-Principal position at NetSage?
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 Principal Software Engineer with proven experience in designing, developing, and integrating prototype applications for technical evaluation. In this role, you will work directly with customers, developers, and data scientists to translate operational challenges into functional solutions, evaluate emerging technologies, and produce prototypes that enhance enterprise services and analytical workflows. The ideal candidate for this position will want to work in a dynamic technical lab environment and will bring expertise in Java and Python, hands-on experience with Docker and containerized application development, and experience deploying or supporting applications in a Kubernetes environment. Please consider applying if you meet the following qualifications.
Required Qualifications:
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 Principal Software Engineer with proven experience in designing, developing, and integrating prototype applications for technical evaluation. In this role, you will work directly with customers, developers, and data scientists to translate operational challenges into functional solutions, evaluate emerging technologies, and produce prototypes that enhance enterprise services and analytical workflows. The ideal candidate for this position will want to work in a dynamic technical lab environment and will bring expertise in Java and Python, hands-on experience with Docker and containerized application development, and experience deploying or supporting applications in a Kubernetes environment. 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 eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of experience.
- Strong proficiency in Java and Python.
- Experience integrating software applications with cloud-based data systems and enterprise services.
- Hands-on experience with Docker and containerized application development.
- Experience deploying or supporting applications using Kubernetes.
- Experience developing and troubleshooting software in Linux environments.
- Familiarity with virtual machines (VMs), virtualization platforms, and virtualized development environments.
- Experience with modeling, simulation, or computational modeling techniques.
- Familiarity with Machine Learning (ML) concepts, frameworks, or model integration.