Clarity Innovations is looking to solve complex national security challenges by transforming data into actionable intelligence for the Intelligence Community (IC) and Department of Defense (DoD). The company aims to modernize data operations through an advanced software and data engineering platform, focusing on areas like Information Warfare and Cyber Operations.
Requirements
- Proficient in Linux-based development environments (e.g., Ubuntu, RedHat Enterprise Linux, or derivatives).
- Proficient writing Automated Tests (e.g., unit tests, acceptance tests, system/integration tests).
- Proficient with version control software such as Git and hosted code repositories, such as GitLab.
- Experience with Kubernetes (K8s) deployment strategies, cluster lifecycle (deployment, troubleshooting, scaling), and container orchestration.
- Experience implementing modern DevOps practices and tools (e.g., CI/CD, IaC, GitOps) in production deployment workflows.
- Python
- Go
Responsibilities
- Designs, develops, documents, tests and debugs software applications and systems while providing solutions to a variety of technical problems of moderate scope and complexity.
- Develop robust and high-quality software aligned with the overall product vision, balancing user requirements with strategic goals and consistently delivering working solutions on schedule.
- Contributes to the completion of milestones associated with specific projects and CI development to ensure smooth versioning/release cycles.
- Build and integrate automated testing into the product’s codebase.
- Foster a collaborative team environment, mentoring junior developers and coordinating efforts across cross-functional teams to ensure project success.
Other
- 11-15 years of Software Engineering experience
- Current TS/SCI and ability to obtain and maintain a CI Polygraph
- Familiar with contributing to or leading the design of new capabilities.
- Knowledge of security concepts, networks, and system internals to apply in daily tasks.
- Experience working within SAFe and Agile Release Trains
