Top Hybrid DevOps Jobs in San Francisco, CA
As a Solutions Engineer at Encord, you will support customer onboarding, build tools for feature requests, interface with customers, collaborate with sales teams for demos, and assist in gathering technical inputs for the engineering team.
As a Software Quality Assurance Analyst at Inkitt, you'll ensure a seamless app experience by reviewing user interfaces, identifying potential issues, testing database logic, and collaborating with engineers to streamline development processes. You'll focus on mobile app testing and improve quality assurance processes.
The BESS Senior Service Engineer oversees service operations and maintenance for Battery Energy Storage Systems, ensuring safety and efficiency. Responsibilities include managing customer relationships, optimizing service performance metrics, conducting equipment inspections and repairs, leading improvements in service processes, and overseeing vendor management while maintaining communication with internal teams.
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Join the Growth team as a Senior Backend Engineer to architect and implement backend systems critical to monetization and retention strategies for a leading B2B SaaS company in San Francisco. Collaborate on monetization optimization, retention enhancement, and product-qualified lead development. Work with a tech stack including Ruby on Rails, GraphQL, Kafka, Postgres, AWS, and Kubernetes.
The Staff Software Engineer will design, develop, and debug software for distributed systems, lead multiple projects, mentor other engineers, ensure code quality, and stay updated with emerging technologies. The role requires solving complex problems and delivering high-quality solutions in a collaborative environment.
In this role, as a Senior Software Engineer, you will develop high-velocity web and mobile products, lead projects, and work within a full-stack team to enhance our labor marketplace, ensuring successful product launch and iteration.
Aquabyte is seeking an Embedded Software Engineer to work on the hardware and software orchestrating the hardware installed at fish farms. Responsibilities include interfacing with sensors, cameras, and networks to create robust underwater systems, designing network systems at farms, deploying software on devices, and collaborating with the machine learning team to move algorithms to the edge.
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