Software development engineer állások, munkák XIV. kerületben

• Learning and skills needs analyses using business data, stakeholder input, and performance insights
• Collaboration with Talent Practices, AIR, and HR Technology teams to embed learning and skills development into broader talent, performance, and career processes

• 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

• Java alkalmazásszerverek napi működésének feltételeinek biztosítása banki környezetben (performancia, üzembiztonság, mentések, monitorozás)
• Weblogic alkalmazásszerver folyamatos üzemeltetése és monitorozása
• Glassfish alkalmazásszerver folyamatos üzemeltetése és monitorozása

• 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

• Production of standard client collateral such as presentations, factsheets, and commentaries
• Ownership of internal and external reporting by collating and analysing performance attribution, exposure, AUM and flows data

• 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

• Designing and developing proof of concepts (PoCs)
• Demonstrating solutions to internal customers on a tight schedule
• Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes
• Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)

• Embedding in the daily life of two engineering teams specialized in AML entity monitoring and case management solutions and device fingerprinting technology
• Ensuring technical designs align with SEON's architectural best-practices, are pragmatic and complete

Munkakörhöz tartozó feladatok ellátása. ...

• Use formal verification algorithms to formally prove the correctness of complicated logic problems
• Identify key behaviors for verification to write clear testplans for complex designs
• Implement testplans using innovative formal techniques
• Drive tools to realize their best performance

• 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

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...

• 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