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• Supporting engineering manager in development, quality assurance and product management
• Working closely with team members to ensure successful completion of projects and support with roll-out services
• Enabling continuous improvement by providing support when needed
• Vacation planning of direct reports

• 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

• Assistance in developing AI-powered workflows using large language models such as Claude, GPT, and related technologies
• Support for implementation, testing, and maintenance of workflow automation solutions

• 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 such as logs, monitoring, gathering user feedback
• Monitoring application performance and resource planning

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Design, implement, and optimize compiler passes and transformations using LLVM/Clang or GCC
• Build and maintain robust toolchains
• Support new and complex architectures in compiler backends
• Work on architecture-agnostic and IR-level optimizations
• Work on silicon specific optimizations

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• 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

• 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

• Designing applications to meet business process and application requirements
• Building applications to meet business process and application requirements
• Configuring applications to meet business process and application requirements
• Collaborating and managing the team to perform effectively

• Ownership of roadmap and delivery
• Leadership and development of high-performing teams
• Driving technical excellence
• Ownership of platform performance and stability
• Leadership of operational excellence
• Partnership across the organisation

• 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-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Collaboration with architects to communicate, align and implement architecture direction
• Alignment with other tech leads to ensure technical consistency

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Lead frontend development of the application
• Deliver end-to-end features for web and mobile applications
• Occasional backend development
• Develop using frontend stack: React, React Native, Expo, Next.js, TypeScript, Supabase, React Query, Tailwind (NativeWind), React Native Reanimated, Skia