Software Developer (Systems Software)
About this role
GRVTY builds mission and technical expertise to tackle national security issues, providing cyber and SIGINT exploitation of large-scale networks to uncover adversary capabilities. Engineers on this team contribute to new principles and concepts while solving unusually complex problems with substantial latitude for unreviewed decisions.
Daily responsibilities involve integrating modern AI and Large Language Models into legacy architectures and enterprise systems while working from Chantilly, Virginia. Professionals who excel here possess a strong background in software development and cyber operations, combined with the ability to mentor junior employees and collaborate across technical teams.
What you will do
- Provide cyber and SIGINT exploitation of large-scale networks and data to uncover unknown adversary capabilities.
- Apply leading-edge principles and theories to contribute to the development of new technical concepts.
- Solve unusually complex problems and operate with substantial latitude for unreviewed decisions.
- Integrate modern artificial intelligence and Large Language Models into existing legacy architectures and enterprise systems.
- Build, deploy, and maintain enterprise-grade applications while utilizing containerization and cluster management platforms.
- Collaborate with cross-functional technical teams to translate complex client requirements into scalable system designs.
- Mentor or supervise other employees in technical competencies.
What you need
- Must possess an active TS/SCI clearance with Polygraph.
- Requires at least seven years of experience in software development or systems engineering.
- Must have a minimum of five years of experience supporting offensive or defensive cyber operations.
- Demonstrated experience integrating modern AI and Large Language Models into legacy architectures and APIs is necessary.
- Required background includes working with containerization and orchestration platforms such as Docker and Kubernetes.
- Must have knowledge of zero-trust architecture, cloud infrastructure services optimized for AI and ML, and network engineering fundamentals.
Nice to have
- Demonstrated experience with MLOps/LLMOps tools and CI/CD pipelines, such as MLflow, Kubeflow, or GitLab CI
- Demonstrated experience working with high-performance networking, software, and hardware
- Master’s Degree in Computer Science, Artificial Intelligence, or Systems Engineering
- Professional certification in Cloud Architecture or DevOps, such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or CKA
Benefits
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The Virginia pay range for this position is $150,000 to $250,000 USD. Compensation is influenced by factors such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
What clearance is required to apply?
Candidates must hold an active TS/SCI clearance with Polygraph applicable to this customer. This is a mandatory requirement for joining the project in Chantilly, Virginia.
What kind of benefits package does the company offer?
The benefits package includes a robust health plan covering medical, dental, and vision, along with a Health Savings Account featuring company contributions. Employees also receive annual paid time off, paid holidays, paid parental leave, a 401k with a generous company match, and training opportunities.
What technical experience is expected for this position?
Candidates need seven plus years of experience in software development or systems engineering, plus five plus years supporting offensive or defensive cyber operations. Additionally, the role requires demonstrated experience integrating modern AI and LLMs into legacy architectures.