Python developer állások XVI. kerületben (it programozás, fejlesztés)

• Integrating delivered components into working embedded systems
• Debugging firmware, drivers, and application-level issues
• Adapting and extending example code and reference designs
• Building internal demos and proof-of-concept applications
• Giving structured, technical feedback based on real usage

• Using formal verification algorithms to formally prove the correctness of complicated logic problems
• Identifying key behaviors for verification to write clear testplans for complex designs
• Implementing testplans using innovative formal techniques
• Driving tools to realize their best performance

• Deploying and scaling EcliptOS platform in real-world environments and ensuring it works at scale
• Owning the EcliptOS platform delivery lifecycle, bridging product engineering and client environments

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Designing and building multi-agent (agent-to-agent) solutions in which agents hand work to each other, review it and escalate to a human when needed

• Participating in the design and development of low-level software to integrate new Arm architecture features across Linux, Android, and related userspace components
• Architecting, developing, and optimizing core OS subsystems with a focus on performance, power efficiency, and security

• PEGA alacsony kódszintű alkalmazásfejlesztés: eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése: több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• Üzleti probléma és megoldás teljes körű megértése, BRS véleményezése, jóváhagyása
• IT megoldás magas- és mélyszintű tervezése (funkcionális és architektúrális)
• Rendszer szintű SRS dokumentációk készítése, véleményezése – különös figyelemmel az interfészekre (adatfolyamok, adatmapping)

• Designing, developing, and deploying robust and scalable IAM services, including authentication, authorization, user provisioning, and directory services
• Leading technical discussions, conducting architectural reviews, and providing mentorship to junior and mid-level engineers on the team

• Being involved in the design process of a SoC by integrating the latest Arm IP products while ensuring correct functional behaviour
• Developing RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug

• Producing high quality code for the full technological stack, from database to UI and everything in between
• Assisting with troubleshooting basic issues and improving application performance by responding to specific problems and fixing defects

Contributing in SystemVerilog RTL verification and debug; formal bring-up of non-trivial IP blocks to achieve required quality levels (SystemVerilog/UVM, Formal, scripting)...

• Joining experienced engineering teams and contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle with support from a mentor and the wider team

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Driving architectural decisions
• Building scalable solutions using Agile methodologies

Taking ownership of delivering agentic solutions across multiple client deployments, guiding them from initial prototypes and onboarding through to stable adoption and scaled use...

• Designing and implementing data fabric architecture across heterogeneous data sources and platforms
• Developing scalable ETL/ELT pipelines for batch and real-time data integration
• Integrating structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Assisting in integrating data from various sources (e.g. APIs, databases, files) into centralized data platforms
• Ensuring the quality and availability of data across data pipelines and storage systems
• Supporting the implementation of data models and data warehouse solutions

• Working closely with customers to analyze business needs and translate them into technical requirements
• Participating in pre-sales discussions, helping shape tailored technical solutions
• Collaborating with Sales and Customer Success teams to ensure smooth project execution and client satisfaction

Driving modeling and experimentation for SEON's fuzzy matching and AML screening quality, turning ambiguous problems into well-defined approaches and carrying them from experiment through release and operation...

• Designing and building artificial intelligence and machine learning solutions for enterprise clients
• Operationalizing artificial intelligence and machine learning solutions, combining custom models with cloud and third-party AI services to deliver production-ready outcomes