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Top Remote Entry Level DevOps Jobs in San Francisco Bay Area, CA
The Developer Engagement Representative will build partnerships with the developer community, understand Roblox moderation rules, and celebrate international developers on the platform. This role involves collaboration and outreach in support of community growth and engagement.
As a Member of Technical Staff, you will contribute to the design, implementation, and testing of features for Chronosphere’s Telemetry Pipeline product. The role involves solving technical problems, improving product capabilities, and collaborating with cross-functional teams.
As a Solutions Engineer at Deepgram, you will support customers by delivering deep learning solutions and automating support processes. Your role involves problem-solving technical challenges, collaborating on prototypes, and enhancing customer experiences with innovative AI solutions.
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As a Territory Solutions Engineer, you will drive the technical sale of Cloudflare's solutions, ensuring customer success through collaboration with various teams. You'll educate and support clients while building relationships to create new sales opportunities, manage projects, and explain complex technical concepts in understandable terms.
As a Manufacturing Test Engineer at Square, you will design, build, and support testing stations for hardware products, collaborating with engineers across disciplines to ensure quality and performance. You'll debug software, analyze test measurements, and participate in research and development of next-generation technology.
The Embedded System Engineer will design, develop, and maintain real-time embedded software. Responsibilities include testing and debugging software, participating in certification activities, improving system efficiency, and collaborating with teams and customers to meet needs.
The Software Engineer, Data will develop and maintain data pipelines using Python and SQL. Responsibilities include improving content prioritization systems, collaborating with cross-functional teams to facilitate data insights, and contributing to scalable data architecture practices.
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