Software Engineer/ Data Analyst (AI/ML)

Description

When You Love the Work You Do, Any Mission Is Possible

Position: Software Engineer / Data Analyst

***(Active Clearance with a Poly graph is Required)

We’re on multiple contracts and have many opportunities. It is encouraged if applicants don’t meet all the technical requirements to still apply.

Join Our Team:

At Tiber, we believe our people are our greatest investment. We are committed to creating an environment where employees can grow, contribute, and build meaningful careers. From professional development opportunities and mentorship to access to the tools and resources needed to succeed, we support our team members at every stage of their journey.

Our success is driven by the diverse skills, experiences, and perspectives each person brings to the team. We foster a collaborative culture built on teamwork, innovation, and shared goals — where ideas are valued, contributions are recognized, and everyone has the opportunity to make an impact.

When you join Tiber, you become part of a team that values excellence, continuous improvement, and the people behind the mission.

Position Description:

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.

Required Skills

• 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 Have

• 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

Requirements:

• Must be a U.S. citizen.
• Must hold an active clearance with a Polygraph
• Bachelor’s degree in computer science , e ngineering, or related field
   

Physical Requirements:

• This position involves sedentary work with physical requirements expected for at least 50% of the time. Essential functions include prolonged periods of sitting, standing, walking, and talking.
• Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

External Referrals

Do you know a cleared professional looking to advance their career? Want to earn some extra cash? Refer them to us by sending their name and contact information, and you may be eligible for a referral bonus of up to $10,000 for each successful hire.

Don’t see the right opportunity listed right now? Feel free to reach out— our team will keep you informed as new contracts and positions become available.

Send referrals and inquiries to:

EEO Employer:

Tiber Technologies is an Equal Opportunity Employer and does not discriminate based on protected veteran status, disability, or any other legally protected status. All employment decisions are based on merit, qualifications, and business needs and apply to all aspects of employment, including recruiting, hiring, promotion, compensation, benefits, training, and termination.