Top Senior Ruby Jobs in San Francisco Bay Area, CA

The Lead Software Engineer at Coupa will design, develop, and maintain SaaS products for advanced supplier collaboration, ensuring on-time delivery and managing supply chain risks. Responsibilities include architecting code, collaborating with product teams, and enhancing platform features.

The Sr Software Engineer will collaborate with teams to build, test, and deliver Gusto’s product suite, including Payroll, Benefits, and HR. Responsibilities include leading feature specs, developing backend APIs, writing frontend code, and solving complex technical problems. The role requires strong software development experience and a passion for creating user-centric products.

The Senior Software Engineer, DevOps will design, develop, test, implement, and support technical solutions in a collaborative environment. The role involves working with cloud-based solutions, utilizing programming languages and orchestration services, and mentoring other engineers.

As a Full-Stack Engineer, you will tackle a wide range of technical problems, collaborate with product and design teams, and maintain high engineering standards. You are expected to have extensive experience in software development and proficient skills in Ruby on Rails and React to build user-friendly product features.

As a Staff Software Engineer on the GTM Engineering team, you will design and maintain services to support Square's go-to-market strategies, focusing on communications infrastructure, audience segmentation, and analytics systems. You'll work collaboratively with various teams and ensure operational excellence in delivering fault-tolerant systems.

As a Senior Systems Engineer, you will enhance the incident management platform, ensure system availability, develop automation processes, and collaborate across teams to maintain service quality. Your role involves building infrastructure as code and troubleshooting systems in a cloud environment.

The Senior AI Engineer will drive the development of AI-powered financial products, design and maintain AI infrastructure, optimize machine learning models, assess AI tools, and collaborate with cross-functional teams while providing mentorship to junior engineers.