Software development engineer állások XXIII. kerületben (it programozás, fejlesztés)

• Leading and delivering major projects
• Coordinating release activities
• Analysing test data to support quality improvements
• Supporting software developers in using the platform
• Driving more efficient build and test automated pipelines
• Driving better controlled use of resources

• 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

• Design, build, and operate system-level infrastructure for autonomous test vehicles
• Take end-to-end responsibility for components, OS provisioning, deployment and runtime behavior
• Debug complex issues across Linux systems, networking and hardware components

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• 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)

• Architecture design of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications
• Integration and deployment of market data initiatives
• Coordination and collaboration with internal OneMSCI stakeholders

• Cooperation with software teams to establish and implement quality processes at every stage of the development cycle
• Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications

• Contribution to Customer Platform team development
• Delivery of high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability
• Design and implementation of cutting-edge client and database-related application features

• Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

Understanding implementation of Fixed Income Derivative Pricing Models written in C++ including yield curve, inflation, FX and volatility derivative models Quantitative modeling involving analysis of model output and time-series to define correctness criteria and thresholding measured daily...

• Design, implement, and evolve platform architecture processes and their integration with connected enterprise systems
• Develop, enhance, and maintain automation modules and frameworks primarily using PowerShell and C#

• Ownership and evolution of Tulip’s Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools to accelerate test generation and triage failures

• 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

• Data exploration, profiling, cleansing, and preprocessing for high-quality datasets
• Design and management of workflows for storing and retrieving vectorised documents
• Application of embedding models to build AI-driven solutions

• Ownership of quality and test strategy for critical backend services, APIs, and data flows across the platform
• Design, implementation, and maintenance of automated test suites in Python covering API, integration, and service-level testing

• Maintaining and evolving AI/ML projects using Python
• Building design Agentic LLM based solutions and maintaining/improving existing ones
• Ensuring output quality by verifying consistency and accuracy
• Investigating, assessing, and developing cloud based MCP solutions

• Software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms
• Creation of software stacks for Arm’s reference platforms for future Arm devices
• Development of test code for software stacks

• Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics
• Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• Development of novel data extraction tools and workflows
• Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data
• Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification