First állások Budapesten (it programozás, fejlesztés)

• Provide first-line IT support to end users via phone, email, or ticketing systems.
• Troubleshoot and resolve hardware, software, and network-related issues.
• Install, configure, and maintain laptops, desktops, mobile devices, and peripherals.

• Assess current Microsoft 365 tenant configuration, policies, and integrations.
• Evaluate existing device management and endpoint security practices.
• Identify gaps in governance, compliance, and automation.
• Engage stakeholders to determine user experience and service improvement needs.

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• ETL Framework Development
• Pipeline Optimization
• Modern Engineering Practices Application
• Infrastructure And Automation

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

• Configuration and evolution of enterprise AI platforms and orchestration components
• Implementation of platform capabilities and contribution to AI use case implementation
• Development of APIs, service components, and integration logic for AI-enabled solutions

• Management and support of Linux servers and RedHat container platforms (OpenShift/Kubernetes)
• Automation of deployment pipelines and system configurations
• Troubleshooting and provision of 2nd and 3rd line support
• Monitoring of system performance and capacity

• Translation of AI opportunities into executable technical solution designs
• Definition of integration approaches with IT and business application/data owners
• Implementation of AI use cases using enterprise AI services and LLM APIs

• Leading and growing a cross-functional engineering team combining developers and QA engineers
• Collaborating closely with Product Managers and Designers to shape features from ideation to delivery focusing on usability, performance, and customer value

• Design, development, and deployment of robust development tools and scalable infrastructure
• Stakeholder collaboration translating business requirements into technical specifications
• Automation and optimization of CI/CD pipelines
• Quality assurance through code review and testing

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Definition and driving of quality engineering strategy across the software development lifecycle
• Design and evolution of metrics-driven quality frameworks
• Establishment of automation-first quality practices

• Setting technical direction across teams
• Driving AI-native and cloud-native architecture and long-term system evolution
• Leading design of secure, scalable MCP hosts and AWS microservices
• Balancing performance, reliability, and cost in system design

• Implementation of Technical Solutions Based on Engineering Business Partner Requirements
• Development in Python in Connection with CIM Database Product Lifecycle Management System
• Work in GIT Lab CI/CD Environment with Pycharm and JetBrain AI

• Regular Review And Challenge Of Engineering Design Documents
• Building And Mentoring A High-Performing Engineering Team
• Contributing To Strategic Planning And Execution As Part Of The Engineering Leadership Team
• Acting As A Role Model And Championing Leadership Behaviors

• Transform Vague Client Ideas Into Concrete Product Scopes
• Define Ideal Team Setup And Project Phases For New Engagements
• Create Realistic Effort And Time Estimates
• Lead Design Portion Of Presales Process
• Participate In Pitches And Qualify Technical Requirements
• Write And Present Design Proposals

• Design Unified Communications solutions across multiple platforms and customers
• Create design documents such as High-Level Designs (HLDs), Low-Level Designs (LLDs), and call flow diagrams
• Gather customer requirements and translate them into clear technical designs

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

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations and provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization