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Salary
≈ $58k – $103k per year (Estimated)
Location
Hybrid (Poland)

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Jul 7, 2026. Mindbox scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mindbox is a technology company that builds customer data and marketing automation platforms for retailers, financial institutions and consumer brands. Its products unify customer records across sales channels, run loyalty programmes and personalised campaigns, and increasingly apply machine learning to segmentation and next-best-offer decisions rather than leaving marketers to define rules by hand. Operating from Warsaw and serving clients across central and eastern Europe, it competes with the marketing clouds of the large enterprise software vendors by offering deeper local integration and a lower implementation burden.

At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.

We are building next-generation Collateral and Facility Management solutions by leveraging AI-enabled SDLC practices, strong engineering standards, and modern integration capabilities. If you’re passionate about Java microservices, cloud-native architectures, and exploring responsible AI engineering patterns, this role is made for you.

Sounds like your kind of challenge?

Responsibilities

  • Flexible cooperation model - choose the form that suits you best

    (B2B, employment contract, etc.)

  • Hybrid work setup - remote days available depending on the client’s arrangements - 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

Requirements

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.

Benefits

  • 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

Desirable Qualifications

  • 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

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

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