About the Role
Join a small, fast-moving AI product team to build and operate the infrastructure behind user-facing products and core SaaS capabilities. You will take ownership of foundational systems that support reliable services, durable workflows, and products used at significant scale.
What You'll Do
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Build and operate cloud infrastructure for production services, using infrastructure as code and containerized workloads.
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Develop durable workflows and backend systems that support long-running product and AI workloads.
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Design, scale, and tune databases, including schema design and performance improvements.
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Own infrastructure initiatives from architecture and implementation through production launch and ongoing iteration.
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Partner with product and engineering teammates to turn open-ended goals into reliable, scalable systems.
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Use AI coding tools as part of your daily engineering workflow.
What We're Looking For
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Two to ten years of experience in infrastructure, platform, or backend engineering, with demonstrated progression into senior, lead, or staff-level scope.
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Production experience with infrastructure as code such as CDK or Terraform, Docker, and a major cloud provider such as AWS, GCP, or Azure.
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Hands-on experience with Temporal or a comparable durable workflow orchestrator.
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Deep production database experience, including schema design, scaling, and performance tuning; relevant technologies include Postgres, Redis, and ClickHouse.
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Experience supporting substantial user or data scale, ideally in a startup or growth-stage environment.
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Daily use of AI coding tools and the ability to explain how they fit into your workflow.
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Experience building infrastructure for AI agents or machine learning workloads is a plus.
Compensation & Benefits
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, United States.
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