E learning állások XV. kerületben (programozó, fejlesztő)

• Proficient use of modern frameworks
• Utilizing the most cutting-edge development environments: Docker, Kubernetes
• Developing high-availability, prestigious enterprise frontend applications, such as the portals of OTP Bank and Magyar Telekom

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Building scalable solutions using Agile methodologies
• Co-creating products with client teams

• Collaboration with a global network of technologists, designers, and strategists
• Development of cutting-edge products
• Mentoring client teams
• Shaping engineering cultures
• Development of software products and services from the ground up

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Producing high quality code for the full technological stack from database to UI
• Assisting with troubleshooting basic issues
• Improving application performance by responding to specific problems and fixing defects
• Documenting and demonstrating solutions with a focus on security and performance

• Development and improvement of computer vision algorithms for cricket tracking systems
• Building and enhancement of ball and player tracking solutions using multi-camera technology
• Contribution to multi-view geometry solutions to improve tracking accuracy

• Design and build innovative AI solutions combining advanced software development and data engineering
• Collaborate with global technologists, data scientists, and industry experts to transform businesses through advanced analytics and AI-driven solutions

• Delivery of complex data engineering 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 build the automated review pipeline with triage, security, quality, and architecture passes
• Build and maintain deployment gates that block critical vulnerabilities across every deploy surface

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Deployment and scaling of EcliptOS platform
• Ownership of EcliptOS platform delivery lifecycle
• Deployment and configuration of production-grade systems across cloud and hybrid infrastructures
• Validation of performance and stability of deployed systems
• Ensuring structured handovers for long-term success

Your TOP RESPONSIBILITY IS KEEPING CLEARVIS.IO RUNNING and IMPROVING THE DEVOPS AUTOMATION behind it. We self-host everything: our infrastructure, networking, internal services, and GitLab itself.   We are a small company, so operations alone is not a full-time job. For the rest of your time, you...

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems
• Delivering tangible impact by securing customers' money
• Accelerating product growth by raising automation levels

• Contribution in SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks to achieve required quality levels
• Collaboration with engineers across design, performance modelling, validation, and implementation to meet functional requirements, performance, power and area goals

• Technical assistance and training to customers globally
• Mentoring partners on IP integration, configuration, and performance
• Investigating issues and finding solutions through RTL simulations
• Analyzing customer requests and issues and providing solutions

• Developing testbenches and test cases to verify the design to high standards
• Investigating alternative options for existing design or verification implementations
• Developing and trialling new processes and flows to be used by the verification teams

• Leading engagements to build and productionize tailored AI applications in the Databricks platform
• Owning the technical delivery of AI solutions
• Leading technical scoping and designing high-level architectures for AI and Generative AI solutions
• Defining the roadmap for AI and Generative AI solutions

• Building, operating and improving production data pipelines using Python, Airflow, Kubernetes and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Design and configure Master Batch Records within Rockwell PharmaSuite
• Translate manufacturing process requirements into compliant MES design solutions
• Ensure adherence to global templates, design principles, and regulatory requirements