Your responsibilities

Engineering Delivery
• Build, test, release, and support Java microservices and related components
• Contribute to solution design and integration patterns in alignment with target architecture
• Proactively identify and resolve technical risks, dependencies, and cross-stream blockers
Engineering Quality & Controls
• Follow and improve engineering standards: coding practices, branching, CI/CD quality gates
• Deliver robust automated tests (unit, contract, integration) to maintain measurable quality
• Participate in design, code, and security reviews, remediating findings promptly
AI-Enabled SDLC & Governance
• Use AI-assisted development tools (e.g., GitHub Copilot) responsibly with strong security and IP governance
• Apply reviewed guardrails for AI-generated code: secure coding checks, traceability, auditability
Contribute to GenAI engineering patterns:
• LLM safe usage for code generation
• Retrieval-Augmented Generation (RAG) for validated responses
• Agent-style workflows with human-in-the-loop controls
Security, Resilience & Operational Readiness
• Apply security-by-design principles: secure coding, secrets management, vulnerability remediation
• Build production-ready services with observability (logs, metrics, traces), performance testing, and incident readiness
Collaboration & Continuous Improvement
• Work closely with Tech Leads, QA, SRE, and platform teams across multiple streams
• Promote a culture of shared accountability, continuous improvement, and engineering excellence
Note: Detailed project information will be shared during the recruitment process.

Our requirements

Solid hands-on experience in Java microservices development (Spring Boot) within enterprise environments
Proficiency in RDBMS (Oracle/PostgreSQL): schema design, query optimization, performance tuning
Strong understanding of API design, RESTful integration patterns, messaging/event-driven systems
Experience with CI/CD pipelines, quality gates, and DevSecOps practices (Jenkins/GitLab, Sonar, SAST/DAST scanning)
Expertise in automated testing practices: JUnit, Mockito, Testcontainers, contract/API testing
Hands-on exposure to GCP (Google Cloud Platform) or other cloud environments
Familiarity with GenAI tools and patterns in software development (e.g., LLMs, RAG, agent workflows) and governance principles
Ability to design scalable solutions under complex delivery and regulatory constraints

Optional

Experience with regulated financial platforms requiring strong controls and audit readiness
Knowledge of containerization, Kubernetes, and service mesh patterns
Familiarity with observability stacks and resilience engineering practices
Hands-on experience implementing AI-enabled SDLC guardrails and productivity metrics
Prior involvement in GenAI prototyping – including RAG pipelines, eval frameworks, and prompt lifecycle management

What we offer

Flexible cooperation model
Hybrid work setup – 2 days a week from the office in Kraków
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.

Developer – AI-Enabled Delivery

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