Python programozó állások Alsónémediben (programozó, fejlesztő)

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle

• Producing high quality code for the full technological stack from database to UI
• Assisting with troubleshooting basic issues
• Improving application performance by responding to specific problems and fixing defects
• Documenting and demonstrating solutions with a focus on security and performance

• Collaboration with a global network of technologists, designers, and strategists
• Development of cutting-edge products
• Mentoring client teams
• Shaping engineering cultures
• Development of software products and services from the ground up

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

• Design and build innovative AI solutions combining advanced software development and data engineering
• Collaborate with global technologists, data scientists, and industry experts to transform businesses through advanced analytics and AI-driven solutions

• Design and development of innovative AI solutions
• Collaboration with global technologists, data scientists, and industry experts
• Development of scalable data pipelines
• Building software products and services from the ground up
• Assessment of data landscapes and ensuring data quality

Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others...

• Deployment and scaling of EcliptOS platform
• Ownership of EcliptOS platform delivery lifecycle
• Deployment and configuration of production-grade systems across cloud and hybrid infrastructures
• Validation of performance and stability of deployed systems
• Ensuring structured handovers for long-term success

• System IP microarchitecture specification and design
• SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks to achieve required quality levels

• Design and development of low-level software to integrate new Arm architecture features across Linux, Android, and related userspace components
• Architecture, development, and optimization of core OS subsystems with a focus on performance, power efficiency, and security

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• Active involvement in the 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

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including Full-stack, AI, and Data

• Building and maintaining dataset ingestion, cleaning, and versioning pipelines
• Designing and operating labeling workflows including quality control and inter-annotator agreement tracking
• Owning dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Lead AI-assisted software engineering activities for Meridian by designing repeatable SDLC patterns
• Anchor the engineering approach for OpenStack-derived services, repository-scale understanding, and sovereign software handover readiness