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• 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

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem with leadership of upstream contributions

• Driving technical excellence in products
• Facilitating technical design, decisions, troubleshooting and delivery
• Supporting managers in building world class engineering teams
• Researching new technologies
• Leading technical investigations and developing POCs

Munkakörhöz tartozó feladatok ellátása....

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Build and operate deployment pipelines for AI services covering CI/CD, infrastructure-as-code, environment promotion, and rollback
• Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• 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

• Design, develop, and maintain scalable fullstack applications using .NET and Angular
• Integrate and manage messaging systems such as Kafka and RabbitMQ
• Deploy and manage applications using Docker and Kubernetes in AWS environments
• Work with various databases including PostgreSQL, MSSQL, and Couchbase

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• 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 and MLOps projects
• Ensuring successful execution of cloud migration projects

• Dotnet alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok kezelése és optimalizálása
• Szoftverek teljesítményének javítása és hibák keresése
• Meglévő kódok refaktorálása

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• 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

• Technical leadership in Unreal-powered graphics pipeline development
• Shaping innovative solutions for sports broadcasting blending VR and AR
• Addressing critical bugs
• Architecting and implementing core functionalities
• Leading technical discussions
• Mentoring junior engineers

• Writing and maintaining clean, high-quality, and efficient code aligned with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems