Program állások Budapesten (programozó, fejlesztő)

• Tervezési feladatokban való részvétel (HLD, LDD)
• Log management, distributed tracing és metrikagyűjtő rendszerek fejlesztése, üzemeltetése
• Monitoring dashboardok, riasztások kialakítása
• Incidens analízis támogatása
• Monitoring rendszerekhez kapcsolódó automatizálási feladatok

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

Virtualizáció (VMware): A teljes VMware vSphere környezet (ESXi, vCenter) adminisztrációja, teljesítmény-optimalizálása és életciklus-menedzsmentje....

• az adott üzleti és piaci igényeknek és követelményeknek megfelelően nagyvállalati rendszerek, szolgáltatások, folyamatok tervezése;
• komplex informatikai megoldások és stratégiák kidolgozása;
• a végrehajtó csapatok munkájának szakmai ellenőrzése, felügyelete;

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

• Develop, design and maintain backend services for mobile applications using Java and Spring Boot.
• Implement and evolve RESTful APIs ensuring scalability, reliability, and security.

• Lead, mentor, and support a team of full stack developers, building a collaborative and inclusive team environment
• Provide technical direction, guidance, and best practice standards across development, design, and user experience

• Leading a team of engineers to increase delivery capacity for project rollout
• Owning technical execution across frontend and full stack workstreams aligned to a scalable platform model
• Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Define and manage domain-specific architecture standards, principles, and policies aligned with enterprise standards.
• Lead tool and technology selection within the domain(s) to meet strategic objectives.

• Lead and develop the E&P IT Operations, application, and data teams.
• Mentor the team to deliver high-quality solutions and uninterrupted operations.
• Communicate clearly regarding team goals, deadlines, and required training.

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Design and develop interactive 3D, XR, and digital twin applications
• Create immersive visualization experiences for industrial, engineering, facility, and enterprise use cases
• Collaborate with 3D artists, designers, software developers, and engineering teams to build high-quality digital environments

• Lead the architecture, design, and implementation of enterprise-scale web applications using modern frontend technologies
• Serve as the technical lead for UI development while remaining actively involved in coding, design reviews, and implementation

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery of data engineering, ML/MLOps, and cloud migration projects
• Managing and mentoring the data engineering team
• Building and optimizing scalable, high-performance data pipelines

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows