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# Staff Software Engineer - Online Storage

- **Company:** Plaid Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $207,600.0 - $306,600.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Databases, Distributed Data Store, MongoDB, MySQL, Performance Tuning, Software Engineering, SQL Databases, TypeScript, Database Performance, Backend, Storage Technologies, Terraform
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f4d1a12dd7d1b48c

## About the Role

Do you have experience in Scalable systems?, * Strong software engineering experience with deep focus on backend and/or platform systems

 * Deep expertise in storage technologies
 * Experience deploying and orchestrating databases at scale
 * Strong background in database performance optimization, preferably with SQL databases
 * Experience designing and evolving storage platforms
 * Infrastructure experience with tools such as Terraform and AWS
 * Hands-on experience with databases such as TiDB, MySQL, or MongoDB
 * Experience building internal tooling and automation to improve reliability and developer efficiency

Nice to Have

 * Demonstrated curiosity about evolving storage technologies and performance optimization techniques
 * Production experience with Go and TypeScript
 * Experience applying security best practices in storage or infrastructure systems

## Description

* Build and scale systems to support large datasets and high-throughput workloads with strong performance and reliability guarantees
 * Design and evolve resilient, distributed storage systems that operate reliably
 * Navigate ambiguity and drive clarity across complex storage and infrastructure challenges
 * Diagnose and resolve deeply technical issues within storage engines, including analyzing internal behavior and, when necessary, diving into source code
 * Lead careful, reliability-focused migrations that minimize risk and ensure seamless transitions for dependent systems
 * Build foundational storage capabilities that significantly reduce friction for product engineers, enabling teams to move faster and more confidently


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