Software Engineer — App Modernization

The Project We're building an AI-powered application modernization practice for major global financial institutions. The work: take legacy enterprise applications — monoliths, on-prem deployments, decade-old frameworks — and move them to modern platforms (Kubernetes, cloud-native, containerized). Hundreds of applications, each with its own stack, quirks, and business constraints. Most happen to be Java, but not all. AI tools (Agentic AI, LLM agents, automated analysis pipelines) are the primary instruments in this workflow. They handle volume — codebase scanning, dependency mapping, migration code generation. But the hard part isn't the code transformation. It's the decisions: what to migrate, where to migrate it, which strategy to use (rehost, replatform, refactor, rebuild), and how to sequence it without breaking production systems that handle real money. That's where you come in.

Locations

Cyprus / Armenia / Georgia / Poland / Portugal / Serbia / Spain

What you will do

• Assess legacy applications end-to-end: architecture, dependencies, infrastructure, risk — using AI-assisted analysis tools
• Decide migration strategy for each app based on its characteristics, constraints, and business value
• Execute the full modernization: framework upgrades, dependency migration, containerization, CI/CD pipeline setup
• Deploy to target platforms — cloud services, or optimized on-prem — whatever makes sense for the app
• Shape the modernization practice itself: contribute patterns, templates, and lessons learned that make the next migration faster
• Collaborate with application teams who own the legacy systems

Required

• 7+ years in software engineering with progressive seniority