Java ee developer állások, munkák ai és automatizáció kategóriában

• Leading and mentoring a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Driving task prioritization, sprint planning, and resource allocation

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• Komplex AI megoldások fejlesztése ügyfelek számára
• RAG alapú megoldások fejlesztése Python/LangChain vagy Java/Spring AI technológiákkal
• Open source LLM-ek integrálása ügyfélrendszerekbe cloud és on-premise környezetben Kubernetes használatával

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• AI‑vezérelt delivery pipeline‑ok tervezése és megvalósítása BPMN folyamatmodellekből user story‑k, elfogadási kritériumok, kódvázak és API‑specifikációk automatikus előállításával
• AI‑ügynökök építése és karbantartása a fejlesztési életciklus ismétlődő szoftvermérnöki feladatainak automatizálására

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Development of cutting-edge CI/CD pipelines
• Streamlining systematic processes
• Maintenance of core gateways
• Ensuring security and integrity of software assets
• Trying out new technologies for improvement and expansion of know-how
• Participation in cross-functional, international agile team

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset

• Managing the operations of a BSS system in a cloud environment
• Installation management
• Managing upgrades of Middleware
• Monitoring business use cases of the system based on log files
• On call duties
• Maintenance during night hours

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows