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• 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

• 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

• Setup and maintenance of IT cloud infrastructure for multiple products
• Setup and maintenance of the automated build/deployment jobs
• Maintenance of various support tools and utilities
• Monitoring application performance and resource planning

• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions

• 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
• Development of highly scalable services realizing AI/ML functionalities

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• 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

• Odoo-modulok fejlesztése és testreszabása Python 3, XML, HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments...

• Identification of highest-leverage AI opportunities in the developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• Partnering with engineering teams to automate and optimize service availability, scalability, performance, monitoring, and alerting
• Developing software to automate the toil required to keep SaaS offerings highly available, scalable, and resilient

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Supporting the Roche-site in Budapest
• Handling bills for Roche suppliers
• Managing administration of all accounts payable related processes
• Contributing actively to dealing with complex processes and issues in the area of accounts payable
• Supporting any AP teams if additional support is required

• Processing, validating, approving and posting purchase order and non-purchase order invoices
• Calculating and applying value-added tax, withholding tax and other applicable tax requirements in accordance with local regulations

• Development, testing, and continuous improvement of cloud-native CaaS and PaaS capabilities primarily using Go
• Contribution to Kubernetes operators and controllers that automate cluster and platform lifecycle processes

• Design, develop, test, and continuously improve cloud-native CaaS and PaaS capabilities primarily using Go
• Develop Kubernetes operators and controllers to automate cluster, platform, and application lifecycle processes

• Building and maintaining production-grade AI infrastructure using Infrastructure as Code, monitoring, logging, and deployment automation
• Optimising performance and cost efficiency of LLM workloads through autoscaling, caching, batching, and infrastructure right-sizing

• Support of P2P Transformation Project with focus on vendor onboarding and vendor master data activities during migration phase
• Ensuring accurate collection, validation, cleansing and maintenance of vendor data in line with internal controls and project timelines

• Support of P2P Transformation Project with focus on vendor onboarding and vendor master data activities during migration phase
• Ensuring accurate collection, validation, cleansing and maintenance of vendor data in line with internal controls and project timelines

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines