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Developer – AI-Enabled Delivery

Mindbox Sp. z o.o.

⚲ Kraków

31 500 - 37 800 PLN (B2B)

Wymagania

  • Java
  • Microservices
  • Spring Boot
  • RDBMS
  • Oracle
  • PostgreSQL
  • REST API
  • API
  • CD pipelines
  • Jenkins
  • GitLab
  • SAST
  • DAST
  • Test automation
  • JUnit
  • Mockito
  • Cloud
  • GCP
  • Use cases
  • Kubernetes (nice to have)
  • SDLC (nice to have)

Opis stanowiska

O projekcie:
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. 

 

Join Our Client’s Team as a Java Developer – AI-Enabled Delivery 

Are you a Java Developer passionate about building secure, scalable microservices and eager to work in an innovative AI-enabled SDLC environment? Our client is looking for experienced developers to join the team delivering Global Collateral & Facility Management capabilities as part of a strategic transformation program.

This role combines hands-on engineering, cutting-edge GenAI practices, and strong controls to ensure quality, security, and compliance in an enterprise environment.

Sounds like your kind of challenge? 

 

What you get in return

- Flexible cooperation model
- Hybrid work setup – 8 days per month in the office in Kraków - remote days available depending on the client’s arrangements 
- Collaborative team culture – work alongside experienced professionals eager to share knowledge 
- Continuous development – access to training platforms and growth opportunities 
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more 
- High quality equipment – laptop and essential software provided

Wymagania:
- 4–8 years’ experience in software engineering with strong background in:
- Building Java microservices (Spring Boot) in enterprise environments.
- RDBMS design and optimization (Oracle/PostgreSQL).
- Integration patterns (REST, messaging/eventing) and API versioning strategies.
- CI/CD pipelines and tooling (Jenkins/GitLab, Sonar, SAST/DAST).
- Strong test automation experience (JUnit, Mockito, TestContainers).
- Hands-on experience with cloud (GCP) deployment models.
✔ Familiarity with GenAI concepts, LLM use cases, RAG/agent-based patterns, and governance principles.
✔ Ability to make pragmatic decisions under tight deadlines while maintaining quality standards.

Desirable

- Exposure to regulated financial services environments with strict controls.
- Experience with containerized deployment, Kubernetes, and modern observability stacks.
- Prior work implementing AI-enabled SDLC practices responsibly with governance.
- Hands-on GenAI prototyping: RAG pipelines, evaluation approaches, prompt/version management.

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Codzienne zadania:
- Design, build, test, and release Java microservices using Spring Boot for enterprise-scale platforms.
- Contribute to architectural discussions and solution design, ensuring alignment with non-functional requirements (performance, resilience, scalability).
- Help resolve technical risks, dependencies, and blockers across multiple workstreams.
- Use AI-assisted tools responsibly to accelerate development cycles while applying governance and guardrails for security, IP control, and compliance.
- Apply GenAI techniques such as LLM-assisted development and prompt engineering under strict controls.
- Contribute to safe usage patterns for retrieval-augmented generation (RAG) and agent-based workflows with human-in-the-loop validation.
- Implement unit, integration, and contract tests with strong coverage metrics (JUnit, Mockito, TestContainers).
- Ensure secure coding practices, vulnerability management, and observability (logs, metrics, traces).
- Deliver production-ready services supporting reliability and compliance requirements.
- Work closely with Tech Leads, QA, SRE, architects, and platform teams to integrate microservices across business-critical systems.
- Foster a culture of continuous improvement and inclusive team collaboration.

🔍 Dekoder Ogłoszenia

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AI-Enabled Delivery
Może oznaczać wykorzystanie narzędzi AI do automatyzacji procesów developmentu i dostarczania oprogramowania, ale też po prostu pracę nad projektem związanym z AI.
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innovative AI-enabled SDLC environment
Sugeruje, że firma aktywnie wykorzystuje AI w cyklu życia rozwoju oprogramowania, co może oznaczać zarówno zaawansowane narzędzia, jak i potencjalnie nowe, nie do końca ugruntowane procesy.
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cutting-edge GenAI practices
Wskazuje na pracę z najnowszymi technologiami generatywnej sztucznej inteligencji, co może być ekscytujące, ale też wymagać ciągłego uczenia się i adaptacji do szybko zmieniającego się obszaru.
🔴
remote days available depending on the client’s arrangements
Elastyczność pracy zdalnej jest uzależniona od zgody klienta, co może oznaczać, że nie zawsze będzie ona możliwa.
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experienced developers
Choć brzmi pozytywnie, może oznaczać, że oczekiwany jest bardzo wysoki poziom samodzielności i minimalne wsparcie ze strony zespołu.