Senior engineer állások, munkák

• Vevői reklamációk kezelése és koordinálása a bejelentéstől a lezárásig.
• Gyökérokelemzések elvégzése, valamint helyesbítő és megelőző intézkedések kidolgozása és nyomon követése.
• Kapcsolattartás vevőkkel minőségügyi kérdésekben és problémamegoldási folyamatokban.

• Design and ship production-grade agentic systems
• Take technical ownership of Compliance in a Box (CiaB) AI platform
• Architect and evolve AI reasoning layer and agent orchestration framework
• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

• Design, implement, and operate enterprise data platforms across on-premise, IaaS, PaaS, and SaaS environments
• Support and troubleshoot Cloudera Data Platform (CDP) environments, including upgrades and migrations

• 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

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals

• Design and delivery of secure, scalable, high-performance services and platform capabilities
• Setting technical direction across multiple teams
• Owning complex initiatives end-to-end from problem framing to iteration

• 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)

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Daily Operational Activities Including Handling Service Requests And Troubleshooting Complex Network Issues
• Design, Implementation And Optimization Of Corporate Firewall Architecture With Focus On Security, Scalability, And High Availability

Senior Backend Engineer - Golang (f/m/d) | 80-100% | Hybrid working model | Zurich Switzerland Company Description Welcome to SMG Swiss Marketplace Group! SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking...

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Act as the main technical contact for customers
• Lead system integration and performance discussions
• Diagnose and resolve complex cross-system issues
• Manage high-impact technical incidents end-to-end
• Analyse performance data and provide actionable insights
• Collaborate with engineering and production teams

• You are responsible for the operation and continuous development of our central AWS platform, as well as for the administration of AWS accounts within our Landingzone.
• With your know-how and experience, you support and advise product teams in detail during architecture and code reviews.

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

• 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

• Setting technical direction across teams
• Leading design of secure, scalable MCP hosts and AWS microservices
• Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring

Senior Data Engineer Turn data into impact! JobCloud connects hundreds of thousands of job seekers with employers every day and behind every product decision is data. As our next Senior Data Engineer, you'll own the warehouse stack that makes that possible: well-designed data models, performant...