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Architect, build, and operate scalable inference services, APIs, and backend components for model-driven and LLM-powered product features...

• Building infrastructure for FAQs, self-service pages, and chat platform as a primary support channel
• Enabling smarter customer interactions
• Automating solutions
• Helping other teams deliver better support experiences
• Delivering seamless, impactful solutions across all Wise platforms

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• Ownership and delivery of well-defined stories independently with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

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

• Build and operate multi-cluster containerized environments across cloud platforms
• Create end-to-end CI/CD pipelines for cloud-native applications and machine learning workloads
• Lead cost-optimization and FinOps initiatives for GPU, storage and data-egress spend

• Design and own secure, scalable services end-to-end
• Guide technical decisions and evaluate trade-offs across reliability, performance, maintainability, and cost
• Architect and deliver AI and agentic product capabilities including LLM integrations, multi-step agentic workflows and intelligent automation

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• 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

• Alkalmazások fejlesztése microservice architektúrában
• Funkcionális és nem-funkcionális követelmények technikai megvalósítása
• Felhőinfrastruktúra konfigurálása és karbantartása
• CI/CD pipeline-ok kialakítása
• Meglévő alkalmazások optimalizálása

• Design, development, and deployment of robust development tools and scalable infrastructure
• Stakeholder collaboration and translation of business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• End-to-end MES project implementations
• Solution analysis including assessment, requirements, process design, and solution design
• Solution implementation including configuration, development, and testing
• Implementation and support of VB.NET based software solutions as part of the run and maintain team

• Maintenance of existing Android application with focus on stability, reliability, and production readiness
• Investigation, prioritization, and fixing of critical and high-impact bugs
• Provision of timely fixes to unblock scheduled releases
• Keeping Android SDK, Gradle, and third-party libraries up to date

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Development of native Swift/iOS applications
• Design of user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests and participation in developer testing
• Continuous learning

• Vállalati IT infrastruktúra architektúra megtervezése, fejlesztése és dokumentálása
• Infrastruktúrához kapcsolódó architektúra-elvek, standardek és technológiai irányok kialakítása és képviselete
• IT infrastruktúrára hatással lévő projektek folyamatos figyelemmel kísérése

• Participation in implementation of ServiceNow solutions including system configuration and development of custom features
• Support of technical consulting and testing activities
• Following implementation standards and technical best practices

• Planning and leading the technical implementation of ServiceNow solutions including system configuration and development of custom features
• Architecting and designing scalable and robust ServiceNow solutions
• Providing advanced technical consulting and support quality assurance activities

• Working together with the client on their requirements
• Transferring requirements to the backlog of understandable and estimable project tasks
• Understanding priorities
• Preparing release/sprint plans
• Focusing on maximum transparency when working with stakeholders

• Leading end-to-end penetration testing engagements across web applications, APIs, cloud environments, Kubernetes, AWS, Azure, GCP, and internal infrastructure
• Simulating real-world attack scenarios to identify security risks before they become threats