> Markdown version of [/jobs/ext/4715830-staff-infrastructure-software-engineer](https://www.wearedevelopers.com/jobs/ext/4715830-staff-infrastructure-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Infrastructure Software Engineer - **Company:** True Talent Solutions LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $200,000 - $300,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Database Design, Infrastructure as a Service (IaaS), PostgreSQL, Machine Learning, Performance Tuning, Redis, Software Engineering, Google Cloud, AI Coding Agents, Agentic-AI, Infrastructure Automation Frameworks, Vertica, Terraform, Docker - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-infrastructure-software-engineer-san-francisco-ca--92304a01-a9b9-4c2b-bcf5-17b0f7b77ff1 ## About the Role Infrastructure Software, Software Engineering, Artificial Intelligence (AI), Team Building, Customer Support/Service, Infrastructure as a Service (IaaS), Automation, Database Design, Performance Tuning/Optimization, Database Technology, * Typically 4 to 10 years of experience in infrastructure, platform, or backend engineering, with scope and career progression demonstrating strong ownership. * Extensive hands-on experience operating production cloud infrastructure across AWS, GCP, and Azure. * Experience with Infrastructure as Code tools such as Terraform or CDK, and production Docker workloads. * Production experience with Temporal or a comparable durable workflow orchestration platform. * Strong database expertise, including schema design, scaling, and performance tuning; the stack includes Postgres, Redis, and ClickHouse. * Experience supporting large-scale production systems or working with substantial data volumes, ideally including infrastructure for AI agents or machine learning workloads. * Startup experience, or experience combining work at a larger technology company with a startup environment. * Daily use of AI coding tools and the ability to explain your development workflow. ## Description Join a small, fast-moving team building AI-powered software products and the infrastructure behind them. You will own critical platform capabilities that help bring reliable, user-facing products from early requirements to production., * Design, build, and operate cloud infrastructure and platform services for user-facing products and AI workloads. * Own infrastructure initiatives from open-ended goals through architecture, implementation, launch, and ongoing improvement. * Build and maintain durable workflows, containerized services, and infrastructure automation. * Design and tune databases, including schema design, scaling, and performance optimization. * Partner with product and engineering teammates to deliver reliable systems and respond to user needs. * Use AI coding tools in your day-to-day workflow to increase development speed and effectiveness.