Top Senior Hardware Engineer Jobs in San Francisco Bay Area, CA

As a Senior Backend Engineer at Sprig, you will enhance the reliability and performance of our backend architecture, manage data integrity and security, and lead collaborative projects to optimize features for customer insights. Your contributions will significantly impact our innovative product research solutions.

The Senior Salesforce Administrator will manage and customize the Salesforce CRM for Carrum, focusing on building custom objects, flows, and optimizing the CRM for Go-To-Market teams. Responsibilities include troubleshooting, training new hires, and enhancing CRM usage across Sales, Marketing, and Client Success teams.

As a Principal Engineer on the Database Engine team, you will lead technical decisions, mentor engineers, and solve complex problems in database systems, particularly in C/C++ on Linux. You will work collaboratively across departments, optimizing customer experiences and driving the design and development of key database features.

The Senior Software Quality Engineer will lead the automation strategy by converting manual tests to automated ones, collaborate with development teams, enhance test coverage, conduct performance testing, mentor team members, and maintain documentation for automated tests.

The Tech Lead will guide a team of engineers, providing technical mentorship through coding, code reviews, and establishing best practices. This hands-on IC role emphasizes coding expertise, especially in Python and machine learning, to improve the team's skills and technical strategy.

As a Senior Data Engineer, you will design, implement, and optimize data services and pipelines. Collaborating with cross-functional teams, your focus will be on operational data analysis, enhancing event systems, and driving automation to support business needs while creating scalable architectures.

The Staff Software Engineer will lead the ETA & Routing team, focusing on developing scalable systems for reliable routing and ETAs. Responsibilities include creating a technical roadmap, collaborating cross-functionally, building technical solutions, writing maintainable code, and mentoring team members. The role also involves leading code and design reviews, and managing data pipelines for the machine learning stack.