Docker állások, munkák

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

• Backend & API Development: Design, build, and maintain full-stack applications using Java and Spring Boot
• System Integration: Create RESTful APIs to connect frontends with multiple backend systems and databases

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.

None...

• Participation in various partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices

• Alkalmazások fejlesztése microservice architektúrában
• Funkcionális és nem-funkcionális követelmények technikai megvalósítása
• Felhőinfrastruktúra konfigurálása és karbantartása
• CI/CD pipeline-ok kialakítása
• Meglévő alkalmazások optimalizálása

• Operation and support of several systems in Azure
• Design and continuous improvement of monitoring, alerting, and logging
• Support of incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Design, development, and deployment of robust development tools and scalable infrastructure
• Stakeholder collaboration and translation of business requirements into technical specifications
• Automation and optimization of CI/CD pipelines
• Code review and testing for quality assurance

• Development of new features in our application
• Pairing with your team-mates, collaborating with other teams, reviewing pull requests, deploying to production through CI pipeline
• Provide technical consulting and advice to users and product management
• Cross-testing and assuring quality

• Own and evolve JavaScript/TypeScript client libraries and SDKs ensuring high-quality APIs, backward compatibility, and an excellent developer experience
• Drive implementation of sophisticated features across our library portfolio

• Üzembe helyezési folyamat koncepciójának kidolgozása a projekt részére
• CI/CD folyamat felépítése és üzemeltetése a vonatkozó CI/CD eszközök használatával
• CI/CD szerver adminisztrációja
• CI/CD scriptek előállítása
• CI/CD folyamatba a tesztautomatizálási eszközök integrálása
• CI/CD eszköztár monitorozása

• Stable operation of highly available applications in a 24/7 environment
• Monitoring of applications
• Deployment of applications
• Continuous improvement of applications
• Contribution to operational excellence
• Support of the entire application lifecycle from deployment to productive operation

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

Through your expertise, you provide excellent user experience to our insurance comparison platform using Angular and modern full-stack technologies...

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Build and optimize data pipelines and SQL queries against large investment datasets
• Prototype and evaluate new approaches: agent architectures, retrieval strategies, tooling and document findings for the team

• Üzleti folyamatok automatizálása n8n-ben és/vagy Make-ben
• AI workflow-k készítése (OpenAI, Claude, Gemini stb.)
• API integrációk fejlesztése
• webhookok, REST API-k használata
• Python scriptek készítése az automatizmusok támogatására
• adatfeldolgozás (JSON, XML, CSV)
• különböző rendszerek összekötése

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD