Companies in this catalog do not charge applicants. Never send money to apply.
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 .
Work directly with engineering and architecture teams
Translate technical insights into clear action plans
Drive progress from:
Initial analysis → transformation → adoption
Expand into Customer Ownership
Lead technical discussions with:
Architects, engineering leads, and CTO organizations
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:
Software engineering, architecture, or modernization
Strong experience with:
Java, .NET, SQL, distributed systems
Enterprise application architectures
Comfortable working with:
Large, complex, poorly documented systems
Exposure to or strong interest in:
AI/GenAI for software development
Code transformation and modernization
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
