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
Требования
Strong Java/Spring expertise— the majority of the target portfolio is Java (10+years)
Participation in modernization / tech transformation / legacy shift / migration to cloud / migration from legacy / tech upgrade / lift and shift / dockerization is a must
Hands-on modernization experience— you've migrated enterprise applications from older frameworks, runtimes, or platforms to modern ones
Java is the most common target, but the next app could be anything
Broad infrastructure knowledge
Working knowledge of enterprise middleware and data infrastructure
Open to AI-assisted workflows— we use Agentic AI and LLM tools daily as primary instruments
Enterprise comfort— you've worked in large organizations with large-scale existing systems, change management, and compliance requirements
none of this is new to you
Excellent written and spoken English
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
Big Plus
Experience with additional JVM or non-JVM backend stacks (.NET, Python, C++)
Experience with AI/LLM tools specifically for code analysis, migration, or large-scale refactoring
Financial services, capital markets, or fintech background — our clients operate in regulated environments with algo trading, post-trade processing, and real-time risk systems