It programozás, fejlesztés állások Pölöskén középiskolai végzettséggel

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

Design and architect end-to-end Microsoft Fabric solutions (data lakes, warehouses, real-time analytics) Build and optimize pipelines integrating diverse data sources (SQL, APIs, Salesforce, Oracle, Dynamics) Implement Direct Lake connectivity and optimize semantic models for analytics Lead...

Administer and configure liquidity hubs (OneZero, PrimeXM, Centroid, FXCubic, etc.) to ensure continuous uptime and performance. Manage client onboarding processes, including setup via FIX, MT4/MT5, and give-up (dropcopy) connectors. Monitor client operations, route profiles, and configure risk...

Architect and implement end-to-end cloud data solutions, including data lakes, data warehouses, and real-time analytics platforms. Design, build, and troubleshoot data acquisition pipelines from databases, flat-files, and REST APIs. Apply medallion architecture (bronze/silver/gold) for scalable,...

Build and evolve backend microservices in Go (new features, performance work, reliability improvements). Work with production Python-based components when needed across the broader service landscape. Participate in architecture discussions and cross-team integrations. Perform code reviews and...

Set the technical direction for AI-enabled platform: architect secure, scalable, serverless systems on AWS, define patterns and governance practices. Mentor senior engineers and lead org-wide design decisions. Shape engineering strategy with broad organizational impact across multiple teams and...

Design and implement reliable, scalable system services for edge and physical AI workloads. Build runtime infrastructure that supports deployment, lifecycle management, and updates of AI-powered components on-device. Develop abstractions that decouple applications from underlying AI frameworks,...

Evolve observability across multi-cloud environments, enhancing monitoring, logging, alerting, tracing, and signal quality. Own performance and scalability validation through automated performance testing, ensuring systems operate reliably under both expected and peak demand. Improve deployment...