Top Hybrid Front-End Developer Jobs in San Francisco, CA

As the Core Data Engineering Manager, you will lead a team to enhance data accessibility and integration within Retool. Your role involves managing a team focused on connecting various data sources and ensuring robust backend infrastructure to support internal tool development. You'll balance technical expertise with a product-driven approach to meet user needs and drive feature development.

The Software Engineer will develop and maintain the software stack for Tally autonomous robots, focusing on navigation, perception, and interaction. Responsibilities include improving autonomy, working on CI/CD development, and integrating third-party software packages.

The Senior Fullstack Engineer will design and build core components for billing features, improve infrastructure for billing and payment systems, and collaborate with cross-functional teams to drive engineering projects. Responsibilities include developing APIs and contributing to growth experiments within Envoy's platform.

The Database Platform Engineer will create systems for storing and monitoring large data sets, assemble complex data sets, and perform database organization. This role requires developing data infrastructures and maintaining ETL scripts while collaborating with internal teams on data warehouse planning.

As Head of Engineering at PuppyDog.io, you will lead the development and scaling of an AI-powered demo automation platform, ensuring high-quality software delivery while managing the engineering team. You will contribute to the codebase, establish coding standards, and align technical initiatives with business goals, driving innovation and customer satisfaction.

As a Backend Engineer, you will build scalable solutions to address data privacy and security challenges for enterprise clients. Your role includes developing server-side components primarily in Golang, managing a microservice architecture, and ensuring the reliability and efficiency of our SaaS production system. Collaboration with stakeholders to understand requirements and contributing to technology improvements are also key aspects of the position.

As an ML Research Engineer at Twelve Labs, you will focus on applied research in video embedding, multimodal language modeling, and intelligent agents. Responsibilities include building scalable models, collaborating on core systems, mentoring, and enhancing enterprise video solutions.