Work állások Budapesten (programozó, fejlesztő)

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 Subject matter expertise in software engineering Collaboration and...

Writing reusable, testable, and efficient code mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Integration of data storage solutions Handling security and data protection professionally and precisely Collaborative work to...

Writing reusable, testable, and efficient code mainly in Python Mastering the integration of user-facing elements developed by front-end developers with server side logic Integration of data storage solutions Handling security and data protection professionally and precisely Collaborative work to...

Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools Building integrations between Dynamics 365 and Azure services (Logic Apps, Functions) as part of a modern cloud architecture Supporting the migration from Salesforce to Dynamics 365 to unify...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

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,...

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...

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 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...

Mastery of Apache Spark and Databricks on AWS/Azure Participation in bi-weekly sprint model with technical classes and hands-on project delivery Delivery of complex capstone projects Shadowing senior consultants on real-life engagements Building consulting skills through simulated projects and...

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...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by the development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

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...

Learning existing system architecture, codebase, tools, and development practices Validating existing technical documentation and flagging any gaps or outdated content Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems Maintaining coding standards,...

Implementation of safety mechanisms and diagnostics Low-level driver development Register-level development Interrupt handling Memory and peripheral diagnostics Watchdog management Clock, reset, and power supervision Implementation of startup/runtime diagnostics Fault detection and handling Robust...

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 Describing...

Technical Implementation & Quality Control...

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 quality of junior engineers' work Contributing to hiring best-in-class data engineers...