Software development engineer állások XI. kerületben középiskolai végzettséggel

• Létező rendszerek újraalkotása
• Saját kódbázis létrehozása közösségi közlekedést érintő fejlesztési feladatok mellett
• Agilis fejlesztés iránti elkötelezettség
• Komplex business domain megértése és fejlesztése
• Webes alkalmazások fejlesztése
• Dokumentációk készítése

• Building and evolving CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets
• Designing controlled, reproducible test environments to distinguish real regressions from environmental noise

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Leading the design and development of a brand new cricket tracking system
• Owning tracking pipelines across the full system
• Defining and evolving system architecture
• Driving robustness, accuracy and performance in live sports environments

• Leading the design and evolution of ball and player tracking algorithms using multi-camera systems
• Owning multi-view geometry solutions across entire tracking pipelines
• Driving improvements in occlusion handling, recovery and system robustness in live sports environments

• Player account creation, verification, updates, and closure
• Account authentication, controls, and security
• User session management
• Responsible gaming

• Software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products
• Creation of software stacks for Arm’s reference platforms for future Arm devices

• Development of tools for parsing, analyzing, and visualizing sensor data
• Maintenance of code repositories including version control, code reviews, and documentation
• Support and management of CI/CD pipelines, software releases, and automated testing

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representing Arm in the LLVM ecosystem with upstream contributions and community direction influence

• Design and implement data pipelines processing large datasets from multiple sources
• Develop, maintain, and optimize ETL processes using tools such as Keboola, custom Python, and SQL-based transformations
• Work with marketing and advertising data sources (e.g. Google Ads, Meta/Facebook, ad servers)

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Building and evolving the Risk Manager platform
• Developing secure, scalable microservices using TypeScript and React in a serverless architecture on AWS
• Contributing to AI-powered features for risk management
• Taking end-to-end ownership of services from development to deployment and monitoring

• End-to-end SAP technical delivery for implementation, enhancement, support, and rollout projects
• Requirement gathering and solution design discussions with business and functional teams
• Conversion of functional requirements into technical solutions and technical specifications

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations

• 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

• Design and implement Data Pipelines in Snowflake
• Develop ingestion pipelines from various sources via Snowpipe and other means
• Create data transformations with SQL, Python, PaaS and 3rd party tools such as dbt
• Optimize existing pipelines and transformations for cost, load time, and maintainability

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Building secure, scalable serverless microservices and AI-powered features using TypeScript and React on AWS for the Risk Manager platform
• Owning and delivering well-defined stories independently with a clear grasp of team architecture, frameworks, and tools

Munkakörhöz tartozó feladatok ellátása....

• Replacement and continuous modernization of legacy systems using a cutting-edge tech stack
• Design, development, and maintenance of scalable back-end solutions with .NET 8/9 and ASP.NET Core
• Implementation of efficient and optimized data access strategies with MS SQL and Entity Framework Core