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• Competitive Compensation package based on your experience and skills (Cafeteria, Mobile phone, 15% shopping discount in every Hungarian Tesco store)
• Annual private healthcare package
• Performance-based annual bonus
• Minimum of 25 paid leave days per year

• A tervdokumentáció felülvizsgálata és ellenőrzése, anyagmegfelelőség nyomon követése
• A kivitelezési munkák feltételeinek biztosítása, ellenőrzése
• Technológiai utasítások, minőségi előírások betartása, betartatása, ellenőrzése

• Pályázatok szakmai előkészítése és kalkulációk készítése
• Részvétel új üzleti lehetőségek (akvizíciók) előkészítésében
• Új projektek indulásához kapcsolódó start-up tervek kidolgozása
• Megbízások szakmai átvilágítása és fejlesztési, modernizációs javaslatok kidolgozása

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Evaluation of technical requirements of projects
• Proposal of optimal solutions synchronized with the schedule in accord with Head of CG, Department Leads and Production Manager
• Creation of Primary Asset List and first Shot Breakdown with the Director for project bidding

• Industrialize AI-assisted engineering workflows for Meridian
• Package repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• 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

• Designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation
• Building CI/CD pipelines
• Leading migrations of customer workloads from on-premises, GCP, Azure, or Heroku to AWS

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

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Overseeing daily operations of the Customer Service department
• Facilitating resolution of complex customer needs
• Collaborating cross-functionally with Finance, Logistics, Sales, Marketing and other departments
• Implementing strategic initiatives to enhance customer experience

• Develop and maintain scalable web applications using Angular or React
• Build and optimize RESTful APIs and microservices using Node.js, Python or .NET
• Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Assisting in the smooth running of the production
• Supporting production coordinators, production managers and head of production
• Taking notes in production meetings and distributing reports
• Operating equipment for viewing tests and dailies

• 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

• 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

Support Meridian technical due diligence and transition readiness by using AI-assisted software engineering methods to understand OpenStack-derived cloud services...

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Identification of highest-leverage AI opportunities in the developer workflow
• Building and maintaining the internal agentic AI platform engineers rely on daily
• Owning foundational architecture and standards for agent and model release evaluation and deployment