Lead Backend Engineer with AI/ML skills
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