Type of contract: B2B contract
Salary range: 200-265 PLN/H
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.
Your tasks
- Build, test, release, and support Java microservices and related components
- Contribute to solution design and integration patterns aligned with target architecture and non-functional requirements
- Identify and help resolve technical risks, dependencies, and delivery blockers
- Follow and contribute to engineering standards, CI/CD practices, and quality controls
- Deliver robust unit, integration, and contract testing
- Participate in design reviews, code reviews, and security reviews
- Use AI-assisted engineering tools while maintaining security, quality, and governance standards
- Apply GenAI development practices including LLM usage, RAG concepts, and agent-based workflows
- Build production-ready services with strong observability and operational readiness
- Support release activities, integrations, and environment readiness
- Collaborate with engineering, architecture, QA, platform, and operations teams
- Contribute to continuous improvement initiatives and engineering excellence
Requirements
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