Engineering manager állások, munkák it programozás, fejlesztés területen

• az AV Integrációs szoftver-réteget fejlesztő csapat szakmai vezetése;
• technológiai irányok, architektúrális alapok kialakítása, fejlesztési standardok megtartása;
• fejlesztési folyamatok és csapatműködés fejlesztése;
• csapattagok mentorálása, visszajelzések adása, fejlődési és karrierutak támogatása;

• Lead implementation of AI, GenAI, ML, automation, and AI-powered applications.
• Translate solution designs and requirements into development plans and working software.
• Drive engineering delivery aligned with the target architecture.

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

Own significant ACPC platform programs and initiatives end-to-end, from planning through delivery, including risk management, dependency tracking, and stakeholder alignment....

Drive Platform Vision and Strategy: Define and execute the long-term roadmap for the Cloud Foundations segment, shifting fundamental cloud capabilities into self-service, developer-friendly products....

• Leading a Core Modelling team building the foundational CAD engine
• Regularly reviewing and challenging engineering design documents
• Building and mentoring a high-performing engineering team
• Contributing to strategic planning and execution as part of the Engineering Leadership Team

You provide professional, organizational, and people leadership for multiple software development teams and build a culture of innovation, collaboration, mentoring, and proactive ownership....

You provide professional, organizational, and people leadership for multiple software development teams and build a culture of innovation, collaboration, mentoring, and proactive ownership....

You provide professional, organizational, and people leadership for multiple software development teams and build a culture of innovation, collaboration, mentoring, and proactive ownership....

• Support, invest in and develop an incredible team of talented and motivated engineers with clear expectations via practices such as 1:1s, goal setting, and constant feedback.
• Recruit, manage and retain the best talent for the delivery teams.

• Leading AI-first engineering efforts with AI agents for specification, code and test generation, verification, and review
• Remaining hands-on in the codebase including setting architecture patterns, writing and reviewing critical code, prototyping, and unblocking technical problems

• Leading AI-first engineering efforts with AI agents for specification, code and test generation, verification, and review
• Remaining hands-on in the codebase including setting architecture patterns, writing and reviewing critical code, prototyping, and unblocking technical problems

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Ownership of end-to-end lifecycle of domain data products including design, development, operationalization, evolution, and retirement
• Leadership of technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes within the domain

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• Lead and cultivate engineering talent
• Provide hands-on technical leadership
• Own and drive the technical vision
• Master stakeholder relationships
• Champion Agile and technical excellence

• Design, implement and maintain Azure cloud infrastructure using Infrastructure as Code (IaC)
• Build and improve CI/CD pipelines and deployment automation
• Develop reusable automation for infrastructure provisioning and operational tasks
• Design scalable, secure and highly available cloud solutions

• Definition and execution of automation and AI strategy aligned with GBS priorities and enterprise digital roadmap
• Leadership of a global organization including automation and AI teams across 4 locations

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduction of new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Definition and driving of the ML technical roadmap in alignment with company objectives