Leader állások XI. kerületben (programozó, fejlesztő)

• Develop Huawei business plans and sales strategies together with the Sales, GTM and retail team
• Deliver sales activity reports and sales forecasts;
• Maintain connection with Huawei’s channel partners;
• Manage promotion activities planning, application, and settlement process;

• Cooperates with relevant business and functional areas and Business Analysts to analyze business processes and requirements
• handle business requests from technical side and leads preparation and execution of IT development plans to fulfill business needs. (including resource estimation)

Design, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology Produce high-level technical design artifacts for major stories Influence the future architecture of the product by defining and refining major components and sub-systems...

Design, code, review, and test new features in flagship products Refactor legacy software components Participate in largescale design of future product state Run experiments and create POCs for validation and refinement Collaborate with product managers and other teams to specify technical...

Leading a high-performing team of 3 to 8 engineers Working across the complete software lifecycle including requirements, planning, development, release and support and maintenance Developing Linux device drivers and exposing these to application software...

Setting the technical direction for AI-enabled platform Architecting secure, scalable, serverless systems on AWS Defining patterns and governance practices for multiple teams Guiding AI value addition across the stack Mentoring senior engineers Leading org-wide design decisions Writing code with...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Design, build, and maintain internal developer tools, platforms, and workflows used across Tulip's engineering organization Own and improve CI/CD infrastructure to reduce build times, increase reliability, and enable faster iteration Identify and eliminate friction in the developer experience...

Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications Architecting and implementing key abstractions bridging Software Engineering and DevOps Proactively identifying pain points in the platform and proposing elegant solutions Collaborating...

Development and maintenance of a high-quality catalog of pre-built applications, API connectors, and custom UI widgets Design and testing of AI-centric user journeys for Tulip builders Management of the end-to-end development lifecycle of Library assets from concept scoping to quality assurance...

Maintenance of the Tulip Operating System including building, packaging, and support Configuration and maintenance of routing, networking, and device configurations Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware Porting the Tulip OS to other hardware...

Design and own secure, scalable services Guide technical decisions and evaluate trade-offs including AI-driven components Leverage AI tools to accelerate coding, debugging, testing, and prototyping Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...

Design and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

Technical Implementation & Quality Control...