Software Engineer/ Data Analyst (AI/ML)

Tiber Technologies•Annapolis Junction, MD

2d•Onsite

About The Position

Tiber is seeking a Software Engineer / Data Analyst to join a fast-paced engineering team focused on building and integrating modern software and data-driven solutions. In this role, you will design, develop, and deploy applications that leverage AI/ML technologies, automation, and scalable cloud-native architectures. You will collaborate closely with software engineers and data analysts to develop prototypes, enhance existing systems, and support the delivery of production-ready capabilities. This position requires comfort working in dynamic environments where requirements evolve and rapid iteration is expected.

Requirements

Must be a U.S. citizen.
Must hold an active clearance with a Polygraph
Bachelor’s degree in computer science, engineering, or related field
Experience working with AI/ML platforms, tools, or workflows
Production-level software development experience in Python or JavaScript
Experience deploying and managing production services in cloud or distributed environments
Experience with containerization and deployment using Docker and Kubernetes
Familiarity with Git and CI/CD pipelines
Experience using Atlassian tools such as Jira and Confluence

Nice To Haves

Experience with agentic AI tools or AI-assisted development platforms (e.g., Claude Code, Codex)
Additional programming language experience (e.g., Java, C, or similar)
Experience building web applications using JavaScript frameworks such as React or Vue
Experience working with cybersecurity-related datasets (e.g., network traffic, OS logs, or event data)
Familiarity with large-scale data processing or analytics environments
Experience in production-scale data analysis or security-focused engineering environments

Responsibilities

Design, develop, and deploy applications that leverage AI/ML technologies, automation, and scalable cloud-native architectures.
Collaborate closely with software engineers and data analysts to develop prototypes, enhance existing systems, and support the delivery of production-ready capabilities.
Work in dynamic environments where requirements evolve and rapid iteration is expected.