Job Description

Location: North East,New York,United States

CAST Software is the global leader in Software Intelligence. We help enterprises understand, improve, and transform complex software systems.

Our platform provides deterministic system-level insight into large codebases, which—combined with AI models and agents—enables enterprises to move from experimentation to production-grade AI outcomes in brownfield environments.

About the Role

We are hiring strong engineers and architects who want to move beyond pure development into end-to-end ownership of real-world outcomes in the AI era.

You will work directly with large enterprise codebases (often millions of lines of code), using CAST and AI tools to:

• Understand system architecture and dependencies
• Enable AI-assisted modernization and transformation
• Ensure outputs are accurate, complete, and production-ready

This is a role for someone who wants to stay deeply technical while stepping into higher-impact, customer-facing ownership.

What You’ll Do

Work on Real Enterprise Systems

• Analyze large, complex codebases (.NET, Java, SQL, etc.)
• Reconstruct architecture, dependencies, and data flows using CAST Imaging
• Identify risks, hidden dependencies, and modernization blockers

Enable AI-Assisted Transformation

• Use tools such as VS Code, GitHub Copilot, Claude, and CAST MCP to:
• Ensure transformations preserve:

Bridge Deterministic Insight and AI

• Ground AI outputs in deterministic system context
• Identify gaps where AI-only approaches fall short (e.g., missing layers, incorrect flows)
• Iterate toward deployable, production-ready outcomes

Own Customer Outcomes

• Work directly with engineering and architecture teams
• Translate technical insights into clear action plans
• Drive progress from:

Expand into Customer Ownership

• Lead technical discussions with:
• Contribute to executive conversations with clear, structured insights
• Gradually take on broader ownership of customer success and outcomes

Who You Are

• 5–12+ years in:
• Strong experience with:
• Comfortable working with:
• Exposure to or strong interest in:
• Strong problem-solving mindset — able to trace issues across systems
• Good communication skills, with interest in becoming more customer-facing

What Makes This Role Different

• You work on brownfield systems where correctness matters
• You don’t just generate code — you validate and make it real
• You bridge AI capability with system reality
• You evolve from architect → customer owner
• You are positioning your career at the center of the AI shift — working on the exact problems that will define how AI is used in enterprise software, not just experimenting at the edges

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