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

• 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

• 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)

• 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 client and database-related application features

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...

• 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

• 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

• Data Exploration, Profiling, Cleansing and Preprocessing
• Design and Management of Workflows for Storing and Retrieving Vectorised Documents
• Application of Embedding Models for AI‑Driven Solutions

• 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

• 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

• 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

• 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

• 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

• Resource Account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• Embedding in the daily life of two engineering teams specialized in AML entity monitoring and case management solutions and device fingerprinting technology
• Ensuring technical design alignment with SEON's architectural best-practices, pragmatism, completeness and precision

Researching and designing new performance attribution models Collaborating with software developers to test and release new models into production Supporting existing performance attribution models in production Developing and improving model quality control and model performance monitoring...

• Build and maintain data models and pipelines primarily using AI coding tools
• Build and improve agentic coding workflows to accelerate data modeling and testing
• Partner with stakeholders to surface conflicting metric definitions and run alignment workshops

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives