A trailblazer in the AI and finance technology intersection.

Infrastructure Engineer

San FranciscoOn-site$150K - $300K1 - 10 years
In your first year, you'll architect and deploy scalable infrastructure that powers cutting-edge AI models, enabling our financial services clients to make real-time, data-driven decisions. You'll dive deep into CI/CD pipelines, leveraging AWS, Azure, and GCP to ensure seamless deployments. Your work will directly influence the performance and reliability of our cloud-native applications, setting the stage for future growth. Your ability to drive efficiency through Kubernetes and other tools will be pivotal in scaling our infrastructure.

What they're looking for

  • 1-10 years of experience in infrastructure, DevOps, or SRE roles with a focus on data and AI.
  • Expertise in deploying and managing cloud infrastructure on AWS, GCP, and Azure.
  • Proven ability to manage Kubernetes (K8s) environments and implement CI/CD processes.
  • Experience in the software development and finance sectors, preferably working with financial data.
  • Bachelor's degree in Computer Science, Engineering, or a related field.

Tech stack

AWSGCPAzureKubernetesK8sCICD

Apply for this role

This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.