Platforms engineer állások, munkák rendszerintegrátor kategóriában

Software Engineer - Process Automation & Integration Platforms Our client is a forward-thinking financial services institution headquartered in Zurich, known for combining modern technology with a highly collaborative culture. The company operates with lean structures, short decision-making paths,...

Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards....

Cloud Platform Engineer The Information Technology (IT) team of the Miescher Institute for Biomedical Research (FMI) provides IT infrastructure and services to support 20 scientific research groups and multiple technology platforms . As a world-class research institute, our ability to generate...

In Observability you'll build the tools for monitoring and measuring infrastructure, microservices, and sometimes totally unique workloads. You'll put the developer experience at the front of your mind and implementations, and you'll contribute deeply to understanding and preventing incidents...

Lead SOC engineering initiatives including SOC automation, SIEM–IT Service Management (ITSM) integration, and threat framework mapping and adoption (e.g., MITRE ATT&CK)....

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

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. Creating software stacks for Arm’s reference platforms for future...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

Model Onboarding & Deployment: Take AI models from internal and external users into production inference workflows. Package and deploy models as containerized inference endpoints. Define and operate validation gates covering functional checks, performance benchmarks, and safety/​security...

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....