Software Engineer

Who We Are

For more than 25 years, Aptima's mission has been to improve and optimize performance in mission-critical, technology-intensive environments. We apply deep expertise in how humans think, learn, and perform to today's challenges. Whether for fighter pilots functioning in the cockpit, medical staff in the ICU, or teams collaborating across distributed networks, we are working to ensure synergy, enhance productivity, and accelerate learning, training, and readiness.

Our culture is rooted in our core values, which have evolved over time and our employees have embraced - Integrity, Ingenuity, Excellence, Respect, Inclusion, Teamwork. At our core, Aptima researches, develops, and innovates within an area that engineering firms largely ignore, the human component. To impact the world in meaningful ways, you must bring those innovations to light, and that is precisely what we do.

How You'll Make an Impact

As a Field Engineer with Data Science Expertise, you will serve as a vital link between engineering innovation and practical application. Operating primarily in the Las Vegas area, you will apply your technical skills in software development, data science, and system deployment to field operations. Whether setting up advanced technical systems, analyzing real-time data, or ensuring tools operate seamlessly in mission-critical environments, your contributions will drive meaningful results.

Your role will combine technical expertise with hands-on application, including implementing and troubleshooting systems, managing large datasets, and leveraging advanced data visualization tools. By applying your skills in C#, Docker, and Kibana, you will enable the success of cutting-edge technology solutions in diverse and challenging environments.

You Can Expect To

• System Deployment & Integration: Configure and deploy field-based technology systems, ensuring they meet operational requirements
• Software Development: Develop and maintain software applications using Python and other Data Science Languages to support field operations and data processing
• Data Analysis & Visualization: Leverage tools like Kibana to monitor, analyze, and visualize operational data, providing actionable insights
• Containerization & Automation: Use Docker to deploy and manage containerized applications in diverse environments
• Troubleshooting & Support: Provide on-site and remote support to identify and resolve technical issues with hardware, software, and systems
• Data Management: Handle large, real-time datasets; clean, preprocess, and analyze data for operational and reporting purposes
• System Monitoring & Maintenance: Regularly monitor and maintain systems to ensure stability, security, and optimal performance in field conditions
• Collaboration: Work closely with cross-functional teams, including engineers, scientists, and military personnel, to implement and optimize technology solutions
• Documentation: Maintain clear and concise documentation of systems, processes, and solutions for future reference
• Customer Interaction: Interface with clients and stakeholders to understand requirements, present findings, and provide training or technical demonstrations as needed

• Bachelor's degree in Engineering, Data Science, Computer Science, or related field (or equivalent experience)
• Ability to obtain and maintain US government security clearance, TS preferred
• 3+ years of experience in a field engineering, data science, or similar technical role
• Proficiency in Python for software development and integration and familiarity with Kibana for data visualization and monitoring
• Hands-on experience with hardware and software troubleshooting in operational environments
• Working knowledge of system deployment and maintenance
• Excellent communication and interpersonal abilities
• Willingness to travel and work in field conditions

Preferred Qualifications

• Knowledge of machine learning or advanced analytics techniques
• Familiarity with cloud services (AWS, Azure, or GCP) for field data integration
• Certifications such as Docker Certified Associate or Microsoft Certified: Azure Data Scientist Associate

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.