Staff Software Engineer, Infrastructure
True Talent Solutions Partners
About the role
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
Build and operate cloud infrastructure for production services, using infrastructure as code and containerized workloads.
Develop durable workflows and backend systems that support long-running product and AI workloads.
Design, scale, and tune databases, including schema design and performance improvements.
Own infrastructure initiatives from architecture and implementation through production launch and ongoing iteration.
Partner with product and engineering teammates to turn open-ended goals into reliable, scalable systems.
Use AI coding tools as part of your daily engineering workflow.
What We're Looking For
Two to ten years of experience in infrastructure, platform, or backend engineering, with demonstrated progression into senior, lead, or staff-level scope.
Production experience with infrastructure as code such as CDK or Terraform, Docker, and a major cloud provider such as AWS, GCP, or Azure.
Hands-on experience with Temporal or a comparable durable workflow orchestrator.
Deep production database experience, including schema design, scaling, and performance tuning; relevant technologies include Postgres, Redis, and ClickHouse.
Experience supporting substantial user or data scale, ideally in a startup or growth-stage environment.
Daily use of AI coding tools and the ability to explain how they fit into your 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.
Responsibilities
- Build and operate cloud infrastructure for production services using infrastructure as code and containerized workloads.
- Develop durable workflows and backend systems for product and AI workloads.
- Design, scale, and tune databases, including schema and performance improvements.
- Own infrastructure initiatives from architecture through launch and ongoing iteration.
- Partner with product and engineering teams to build reliable, scalable systems.
- Use AI coding tools in the daily engineering workflow.
Qualifications
- Two to ten years of infrastructure, platform, or backend engineering experience with progression into senior, lead, or staff-level scope.
- Production experience with infrastructure as code, Docker, and a major cloud provider.
- Hands-on experience with Temporal or a comparable durable workflow orchestrator.
- Deep production database experience, including schema design, scaling, and performance tuning.
- Experience supporting substantial user or data scale, ideally at a startup or growth-stage company.
- Daily use of AI coding tools and ability to explain their role in the workflow.
- Experience building infrastructure for AI agents or machine learning workloads is a plus.
Benefits
- Visa sponsorship available.