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As a Threat Intelligence Platform Engineer, you'll manage the Vertex Synapse platform, ensuring its health and integrating threat intelligence to enhance security operations at Coinbase.
You will develop, operate, and optimize the Perforce/Helix Core platform within AWS environments while ensuring stable operation of various AWS services.
As a Platform Engineer on the Compute Capacity team, you'll develop and maintain systems that ensure compute supply meets demand, focusing on automation, metrics, and capacity planning.
As a Services Platform Engineer, you'll rapidly deliver cutting-edge AI features while collaborating closely with a dynamic team, taking ownership from design to deployment.
As a Services Platform Engineer, you'll rapidly deliver cutting-edge AI features, collaborating closely with a dynamic team and taking ownership of projects from design to deployment.
This role is responsible for designing and maintaining CI/CD pipelines, managing Azure infrastructure, and ensuring safe deployment and observability for a fintech innovation pod.
In this role, you will monitor GPU cluster health, respond to incidents, and provide critical data to enhance automation in a cutting-edge AI-operated GPU cloud environment.
The Scientific Platform Engineer will lead the modernization and engineering evolution of a scientific software platform, focusing on CI pipelines, reproducible packaging, and platform reliability.
Develop and redefine the Tailor Platform to empower businesses by creating a flexible and scalable AI Native Headless ERP system that enhances operational efficiency.
Design and develop the AI Native Headless ERP platform 'Tailor Platformโข', redefining business systems for the AI era and enhancing enterprise value.
As a Cloud Platform Engineer, you will design, build, and support secure and scalable cloud infrastructure solutions on Microsoft Azure, focusing on automation and compliance.
As a Platform Engineer, you'll join our platform team within the Data & AI department and contribute to building and evolving our next-generation AI Platform.
As a Platform Engineer, you will build and own the infrastructure that supports ModernFi's platform, ensuring reliability, security, and operational excellence.
As a Platform Engineer, you will design and implement cloud-based integrations, manage technical architecture, and support project teams in the life sciences industry.
As a Software Engineer in Platform Engineering, you will develop and manage scalable distributed systems, ensuring high availability and reliability across cloud infrastructures.
Synthesia is the worldโs leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
The team is responsible for ensuring the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters.
The team is responsible for ensuring the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters.
The team is responsible for ensuring the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters.
The team is responsible for ensuring the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters.
The team is responsible for ensuring the availability, performance, and operational stability of critical AI infrastructure platforms deployed across multiple datacenters.
This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint.
As a Data Platform Engineer, you'll guide clients in deploying data workflows, solve complex data challenges, and influence product evolution through client feedback.
Own and enhance the platform that ensures Givzey's security, compliance, and scalability, while collaborating with engineering and ML teams to streamline software deployment and infrastructure management.
