Clera
United States
Kubernetes Platform Engineer
Devops Full-time Mid-Senior level 1h ago
- AI
- Istio
- Storage
- Kubernetes
T
AI Summary
Own production infrastructure for AI and machine learning products in a small team. Build and operate cloud, workflow, database, and AI/ML infrastructure from design through production. Requires 2-10 years of infrastructure, platform, or backend experience plus cloud, Docker, Terraform/CDK, Temporal, and deep database expertise.
Key Highlights
Own production systems for AI and machine learning products
Build and operate cloud infrastructure for containerized services
Design durable workflows and AI/ML infrastructure
Design and scale production databases
On-site in San Francisco with visa sponsorship available
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Key Responsibilities
Build and operate cloud infrastructure for containerized services using infrastructure-as-code tools
Design and maintain durable workflows for long-running jobs and other production processes
Develop infrastructure for AI agents and machine learning workloads, including model routing, inference, and GPU orchestration
Design database schemas and improve database performance, reliability, and scalability
Partner with product and engineering teammates to deliver infrastructure improvements from design through production
Use AI coding tools as part of your daily development workflow
Technical Skills Required
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Benefits & Perks
Visa sponsorship
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Nice to Have
Experience with AI agent or ML infrastructure
Job Description
About the Role
Join a small team building infrastructure for AI and machine learning products. You will own production systems that support reliable, scalable services and help the team move quickly as its products and workloads grow.
What You'll Do
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