Join Our Cleared Technical Talent Network!
At Nyla, we are passionate about solving complex technical challenges and delivering mission-focused solutions that make a real impact across the Department of Defense and Intelligence Community. We're continuously building our pipeline of exceptional technical professionals to support innovative, cutting-edge initiatives.
If you are a driven problem-solver who thrives in collaborative environments and wants to push boundaries in tech, we want to connect with you! We are currently seeking talented professionals across multiple disciplines—including AI/ML, Data Engineering, Software Engineering, DevSecOps, Cloud, Systems, and Cybersecurity.
Location & Work Environment
Primary Location: Washington, DC 20301
Work Style: On-site
Compensation & Benefits
The annual base salary range for this role is $140,000 - $220,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered may vary based upon geographic location, work experience, education, and/or skill level.
• Technical Proficiency: Hands-on experience with modern development and cloud technologies, including:
• Languages: Python, Java, C++, Go, or JavaScript
• Cloud & Infrastructure: AWS, Azure, or Kubernetes
• DevOps Tools: Docker, Terraform, or CI/CD pipelines
• Data Platforms: SQL, Spark, Databricks, or distributed data architectures
• Systems Integration: Experience with API development and cloud-native application development
• Core Competencies: Strong analytical, problem-solving, and troubleshooting skills
• Collaboration: Demonstrated ability to work effectively within mission-focused, cross-functional technical teams
Education & Experience
• Clearance: Active Secret, TS/SCI, or Fully-Cleared with Poly
• Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, Mathematics, or a related technical discipline (or equivalent practical experience)
• Experience: Hands-on experience developing, integrating, or securing complex software and cloud environments
• Experience with Machine Learning, Artificial Intelligence, or MLOps frameworks
• Demonstrated practice with DevSecOps methodologies and Infrastructure as Code (IaC)
• Knowledge of advanced cybersecurity engineering principles and threat mitigation within cleared spaces
• Familiarity with agile methodologies and modern software lifecycle management