Infrastructure állás, munka

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Define technical roadmaps, and work with a product manager to groom the backlog factoring in technical debt and prioritisation of impactful services.
• Lead, grow, and inspire your team to perform at the highest level, and successfully deliver their best in a fast-paced environment.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Own and drive the system design vision for our Data Platform & ML Platform, and align it with the broader technical strategy.
• Define and clarify stable interfaces with other teams (e.g., dataset/data product contracts, APIs, event/stream contracts, feature definitions).

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

Lead the design and evolution of frontend architecture across multiple teams, ensuring consistency, performance, and scalability. Influence and define the frontend technology stack, with a focus on Angular, TypeScript, and modern web standards. Act as a technical consultant to stakeholders,...

• own and evolve the frontend architecture for an embedded system and beyond
• design user-facing apps considering resource limits, security, and update constraints
• actively contribute code and drive hands-on development, especially in early project phases

• own and evolve the userspace architecture of an embedded Linux system
• contribute hands-on to core components, especially in early project phases
• define stable interfaces and APIs in collaboration with frontend and system teams
• build and mentor the engineering team

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

The AO is a medically guided, not-for-profit organization, a global network of surgeons, and the world's leading education, innovation, and research organization specializing in the surgical treatment of trauma and musculoskeletal disorders. We are home to people from all over the world, from...

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

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...

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features

• Collaborate with agile multidisciplinary teams on diverse consulting projects.
• Participate in brainstorming sessions and contribute innovative ideas.
• Architect, design and implement features for customers, products and internal tools.