Location: Kraków (2 times per week from the office)
B2B | 220–240 PLN netto/hour
About the Role:
We are looking for a skilled and motivated Senior Java Developer to join the AI‑Enabled Delivery Programme within the Global Collateral & Facility Management area.
In this role, you will develop and integrate production‑grade Java microservices, contribute to solution design, and work across multiple workstreams. You will collaborate closely with Tech Leads, architects, QA, platform teams, and engineering partners to deliver secure, well‑tested, and reliable services.
Key Responsibilities:
-
Build, test, release, and support Java microservices
-
Contribute to solution design aligned with architecture and non‑functional requirements
-
Identify and resolve technical risks, dependencies, and delivery blockers
-
Follow engineering standards (coding, branching, CI/CD quality gates, test strategy)
-
Deliver unit, integration, and contract tests with measurable coverage
-
Participate in design, code, and security reviews
-
Use AI‑assisted tooling (e.g., Copilot) responsibly to accelerate delivery
-
Apply guardrails for AI‑generated code (reviews, secure coding, traceability)
-
Use GenAI techniques where appropriate (LLMs, prompt engineering, validation)
-
Contribute to GenAI‑enabled patterns (LLMs, RAG, agent workflows)
-
Embed security‑by‑design and vulnerability management
-
Build production‑ready services with observability and performance readiness
-
Support release activities, integration, and environment preparation
-
Collaborate with Tech Leads, QA, SRE, architects, and platform teams
Requirements:
-
Strong hands‑on experience building Java microservices (Spring Boot)
-
Solid experience with RDBMS (Oracle/PostgreSQL)
-
Strong unit and integration testing practices (JUnit, Mockito, Testcontainers)
-
Experience with CI/CD pipelines and quality gates (Jenkins/GitLab, Sonar, SAST/DAST)
-
Good understanding of integration patterns (REST, messaging/eventing)
-
Experience contributing to technical design and making pragmatic trade‑offs
-
Hands‑on experience with GCP
-
Practical exposure to GenAI concepts and engineering tooling
-
Familiarity with RAG/agent patterns and governance
Nice to Have:
-
Experience delivering regulated financial services platforms
-
Exposure to cloud‑native patterns (containers, Kubernetes, service mesh)
-
Experience with performance engineering and resilience testing
-
Experience implementing AI‑enabled SDLC practices
-
Hands‑on experience with GenAI integrations (RAG pipelines, evaluation, prompt/versioning)
What We Offer:
-
Opportunity to work on strategic, high‑impact engineering initiatives
-
Exposure to modern AI‑enabled SDLC practices
-
Flexible working model
-
Supportive, international engineering environment
-
Benefits package: Multisport Card, Luxmed