True Talent Solutions Partners
US - California - San Francisco
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### About the Role
Join a small AI and machine learning product team building infrastructure for user-facing products and services. You will own core infrastructure work end to end, helping the team ship reliable systems that support growing products and demanding workloads.
### What You'll Do
* Build and operate cloud infrastructure and containerized services for production workloads.
* Design durable workflows for long-running tasks and infrastructure supporting AI agents or machine learning workloads.
* Develop and improve platform capabilities across data storage, service reliability, and product infrastructure.
* Lead work from requirements and architecture through implementation, launch, and ongoing iteration.
* Collaborate closely with a small team to deliver practical solutions quickly and communicate tradeoffs clearly.
### What We're Looking For
* Two to ten years of experience in infrastructure, platform, or backend engineering, with scope and responsibility that have progressed over time.
* Production experience managing infrastructure as code with CDK or Terraform and operating Docker-based services.
* Hands-on experience with Temporal or a comparable durable workflow orchestrator.
* Experience running production cloud infrastructure on AWS, GCP, or Azure at significant scale, or strong evidence of working with large data volumes.
* Deep production database experience, including schema design, scaling, and performance tuning; the current stack includes Postgres, Redis, and ClickHouse.
* Experience at a startup or a combination of large-company and startup work.
* Daily use of AI coding tools, with the ability to explain your development workflow.
* 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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