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Clera

Platform Engineer

San Francisco$150k–$250kfulltimemidAdded today

About this role

Join an AI/ML infrastructure startup as a Platform Engineer to own production reliability, performance, and developer experience across AWS-based systems serving reinforcement learning and agent evaluation workloads. You'll architect and operate containerized infrastructure at scale, leading CI/CD, observability, and incident response for a high-availability platform.

What you'll do

  • Own production uptime, latency, provisioning speed, and incident response for core platform services
  • Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Docker, and related services
  • Design backend systems for scale including capacity planning, autoscaling, queueing, and failure recovery
  • Define and improve observability through dashboards, alerts, logs, SLOs, and runbooks
  • Build reliable CI/CD pipelines, release automation, and deployment workflows
  • Write maintainable code for infrastructure automation and internal tooling

What they're looking for

  • AWS (EC2, EKS, S3, ECR, CodeBuild, IAM, networking, secrets management)
  • Terraform and infrastructure-as-code
  • Kubernetes and container orchestration
  • Docker and containerization
  • CI/CD pipeline design and automation
  • Observability, monitoring, and incident response
  • Backend systems architecture and design
  • Production systems operations and reliability engineering

Benefits

  • Salary: $150,000–$250,000 USD annually
  • Equity participation in early-stage, well-funded AI startup
  • Work with world-class technical team (competition medalists, founders, researchers)
  • High autonomy and direct impact on platform direction
  • Visa sponsorship available
  • Flexible location options (San Francisco, Singapore, or fully remote)
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a production incident you owned end-to-end—what went wrong, how did you detect it, and what did you change to prevent recurrence?
  • Describe your approach to capacity planning and autoscaling for a bursty, unpredictable workload. What metrics would you monitor?
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