Lead Backend Engineer with AI/ML skills at GFT Poland – Kraków | Jobyssey

We are GFT Poland

WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

A culture of top performance
Deep tech IT engineering & consulting
1200 skilled & top-class experts
77% of the team are regular/senior
Products that contribute to a sustainable world
Competitive salary and benefits
Ambitious projects, trainings and tools you need to flourish
Google Cloud Partner of the Year - for going above and beyond for customers

What will you do?

You will join a large-scale enterprise transformation initiative focused on modernizing and enhancing critical business applications. In this role, you will design, develop, integrate, and support enterprise-grade Java microservices while contributing to an AI-enabled software development lifecycle. You will work closely with architects, Tech Leads, QA, SRE, and platform teams to deliver secure, scalable, and resilient solutions in a complex, highly regulated environment.

We offer

Hybrid work in our client's office (Kraków) 6-8 days a month
Working in a highly experienced and dedicated team
Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
Online training and certifications
Access to e-learning platform
Social events

At least 8 years of professional software engineering experience
Strong hands-on experience with Python development in enterprise-scale environments
Good practical knowledge of Java and experience working with Java microservices based on Spring Boot
Experience working in enterprise-scale environments
Strong knowledge of Oracle or PostgreSQL databases
Experience with schema design, performance optimization, and transactional systems
Strong unit and integration testing experience using tools such as JUnit, Mockito, and Testcontainers
Experience with API and contract testing
Hands-on experience with Azure cloud services
Experience with CI/CD pipelines and quality gates
Knowledge of Jenkins or GitLab
Understanding of Sonar, SAST, DAST, and dependency scanning
Strong understanding of REST APIs, messaging, event-driven architectures, and integration patterns
Experience contributing to technical design decisions and architectural discussions
Leadership experience and strong collaboration skills
Practical exposure to GenAI tools and software engineering use cases
Understanding of LLM concepts, RAG patterns, AI governance, and engineering controls
Knowledge of secure coding practices and security-by-design principles

Nice to have

Experience in financial services or other highly regulated industries
Knowledge of containers and Kubernetes
Exposure to service mesh technologies
Experience with observability platforms, logging, metrics, and tracing
Experience with performance engineering and resilience testing
Previous experience implementing AI-enabled SDLC practices
Hands-on experience building RAG solutions or integrating GenAI capabilities
Experience with prompt engineering, evaluation frameworks, or AI governance controls

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