Director of Software Engineering at Acuity leading AI - enabled digital commerce platform development and transforming user experience with modern architecture.
About the role
- Software Engineer designing, building, and deploying secure software systems for mission operations and analytics. Collaboration in team environments focusing on real-world technical challenges.
Responsibilities
- Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
- Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
- Write clean, testable, and maintainable code following secure coding and software engineering best practices.
- Build and integrate modular microservices to improve scalability, maintainability, and interoperability.
- Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
- Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
- Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
- Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
- Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
- Write, test, and deploy software within secure or classified environments.
Requirements
- Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
- 4–6 years of professional software engineering experience.
- Strong full-stack or systems engineering background.
- Proficiency in one or more of the following: Java, Python, C++, or TypeScript/Angular.
- Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
- Understanding of distributed systems and message buses (Kafka, Redis, etc.).
- Exposure to DevSecOps, Zero-Trust, or ATO/RMF processes in DoD environments.
- Experience developing or integrating analytics and AI models into production systems.
- Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
- Experience deploying code in IL4–IL6 or edge/disconnected environments.
- Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
- Active Secret clearance (TS/SCI preferred).
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Benefits
- Telecommute options
- Support for career development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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