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# Senior / Staff Software Engineer, Infrastructure

- **Company:** True Talent Solutions LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Bug Management, Business Systems, Software as a Service, Databases, Programming Tools, PostgreSQL, Machine Learning, Operational Databases, Performance Tuning, Redis, TypeScript, ReactJS, AI Coding Agents, Agentic-AI, Kubernetes, Front End Software Development, Vertica, Api Design, Terraform, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_8d20eb25f95ca97502eb108b2c7f35f1

## About the Role

* Typically 2 to 10 years of experience in infrastructure, platform, or backend engineering, with demonstrated growth into senior or staff-level scope.
 * Strong full-stack skills, especially frontend development, with experience using TypeScript, React, and production databases such as Postgres, Redis, or ClickHouse.
 * Evidence of owning and shipping a complete product module, not only small features or bug fixes.
 * Production experience with Temporal or a comparable durable workflow orchestration system.
 * Experience managing infrastructure as code with CDK or Terraform and orchestrating server or container fleets using tools such as Kubernetes or Docker on AWS.
 * Strong production database skills, including schema design, scaling, and performance tuning.
 * Daily experience with AI coding tools and the ability to explain your workflow.
 * At least one year at a fast-growing startup or high-bar product or developer tools company, or relevant founder experience.
 * Experience building infrastructure for AI agents or machine learning workloads is a plus.

## Description

Join a small team building AI-powered products and infrastructure for business users. You will own major product modules end to end, turning open-ended goals into simple, production-ready tools that customers can use independently., * Build and own user-facing products across AI agents, app building, mobile experiences, and headless SaaS capabilities such as identity, content management, files, email, and commerce.

 * Take ownership of broad product areas, shaping solutions from initial goals through launch and refinement based on user feedback.
 * Partner with company leadership to define requirements and iterate on products for technical and non-technical users.
 * Design straightforward experiences that help users manage critical business systems.
 * Lead features through product design, architecture, data modeling, API design, production launch, and post-launch iteration.
 * Build core SaaS capabilities including billing, entitlements, analytics, experimentation, feature flags, internationalization, and notifications.
 * Use AI coding tools in your daily development workflow to work efficiently and move quickly.