DevJobs

FinOps

Overview
Skills
  • CI/CD CI/CD
  • AWS AWS
  • Docker Docker
  • Kubernetes Kubernetes
  • Terraform Terraform
  • Automation
  • Cloudflare
  • Dashboards
  • Datadog
  • Monitoring
What You'll Do

  • Own the company's cloud and infrastructure cost optimization strategy across both production and R&D environments.
  • Monitor and optimize spending across AWS, AI providers, Datadog, Cloudflare, and other infrastructure vendors.
  • Build dashboards, alerts, and automated monitoring to provide real-time visibility into infrastructure costs and usage.
  • Partner closely with the Data team to analyze cost drivers, identify optimization opportunities, and improve resource efficiency.
  • Work with Engineering, DevOps, and Research to design cost-efficient architectures without compromising reliability or developer productivity.
  • Drive FinOps best practices, including budgeting, forecasting, cost allocation, capacity planning, and infrastructure optimization.
  • Build internal tools and automation that help engineers understand and optimize the cost of the systems they build.

What We're Looking For

  • 4+ years of experience in DevOps, Infrastructure, Site Reliability Engineering, FinOps, or a similar technical role.
  • Strong hands-on DevOps background with experience managing production cloud infrastructure.
  • Experience working in a fast-growing startup, with the ability to operate in a dynamic, fast-paced environment.
  • Deep understanding of AWS and modern cloud-native infrastructure, including Kubernetes, Docker, Terraform, and CI/CD.
  • Experience optimizing cloud costs and working with infrastructure platforms such as Datadog, Cloudflare, and AI providers.
  • Strong analytical and problem-solving skills, with the ability to turn infrastructure data into actionable insights.
  • Experience building monitoring, dashboards, alerts, and automation around infrastructure usage and cost.
  • Strong ownership mindset and the ability to work cross-functionally with Engineering, Research, Data, and Product teams.
  • Curiosity about AI infrastructure and a passion for building scalable, efficient systems.

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