28 total jobs
2 new jobs this week
As an Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations.
Role Description As a Software Engineer on the Metadata team, youβll build and operate the large-scale distributed databases that every Dropbox service depends on.
As an Infrastructure Engineer, you will secure, scale, and maintain the core infrastructure that powers our product, collaborating across teams in a fast-paced startup environment.
The Infrastructure Design Engineer plans, designs, and implements data center whitespace environments, ensuring optimal layout, power distribution, and cooling strategies for high availability and efficiency.
As an Infrastructure Engineer, you will ensure smooth integration and stability of business applications while providing N2-level support and coordinating technical activities across teams.
This role involves leading the deployment of AI solutions in private cloud environments, collaborating with enterprise IT teams, and ensuring compliance with security standards.
The Cloud Infrastructure Engineer will architect and deliver enterprise-grade Kubernetes platforms across hybrid AWS and Azure environments, enhancing operational efficiency and system reliability.
As an AI Infrastructure Engineer, you will manage and support large-scale AI infrastructure environments, ensuring their availability and operational stability while collaborating with a global team.
Design and build core infrastructure for rapid and secure engineering execution, focusing on automation and developer tools within a collaborative team environment.
Design and build core infrastructure to enhance engineering productivity and security, focusing on Kubernetes and automation.
As an Infrastructure Engineer focused on highways and drainage, you will lead technical designs, manage projects, and ensure compliance while supporting diverse infrastructure initiatives.
Shape how enterprises harness AI by leading the deployment of our North platform, integrating it into critical sectors like finance and healthcare while ensuring security and compliance.
Design, deploy, and operate critical DNS infrastructure for Deutsche Telekom's mobile, fixed, and IoT networks, with focus on Kubernetes-based resolving platforms.
As an Infrastructure Engineer/SRE, you will design and build core infrastructure, ensuring reliability and automation to support the engineering team in a collaborative environment.
Design, build, and advance core infrastructure to enhance engineering productivity and security as part of a collaborative infrastructure team.
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.
Design and implement the build, CI/CD, and tooling infrastructure to enhance the developer experience for Poolside's researchers and engineers.
As an Infrastructure Security Engineer, you'll design and implement security tools, collaborate with engineering teams, and enhance the security posture of cloud infrastructure at ElevenLabs.
The Opportunity Getting a model from a research notebook to a production API serving millions of requests is one of the hardest problems in AI.
