Top DevOps Jobs in San Francisco, CA
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The Lead Python Full Stack Engineer will enhance the investment advisory firm's proprietary portfolio management products, maintaining and upgrading application code and web UI, and contributing throughout the technical stack. The role requires expertise in software engineering, project management skills, and adaptability in handling sensitive information.
The Engineering Manager will lead a small R&D team, managing tasks for Electrical, Mechanical, and Software Engineers, overseeing project progress, and ensuring timely completion. Responsibilities include customer communication, budget proposal, team training, and participation in planning processes. The role also emphasizes continual improvement, project reporting, and leadership to resolve engineering issues effectively.
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As the Engineering Lead for Cloud Infrastructure, you will manage AWS and Kubernetes platforms, enhance CI/CD processes, ensure code quality, and mentor developers while collaborating with cross-functional teams to meet evolving needs.
Senior Solution Engineer at C3 AI responsible for developing and deploying AI-based enterprise applications on the C3 AI Platform. Lead a development team, engage with customers, and drive technical improvements across the company.
As a Senior Software Engineer on the Kubernetes Platform team at Box, you will design, deploy, and maintain Kubernetes clusters, develop automation tools, monitor performance, implement security practices, and enhance infrastructure efficiency. You will collaborate with development and cloud native teams to ensure robust operations of services on the platform.
The Software Engineer (Backend/Data) at Fathom will develop data infrastructure for ingesting and normalizing medical data, build interfaces to the data, and create systems that support scalable cloud-based machine learning. The role requires strong backend coding skills and problem-solving abilities, focusing on collaboration.
As an ML Engineer at Waymo, you will lead model optimization efforts for the perception foundation model, focusing on training and inference efficiency across platforms like TPU, GPU, and CPU. Collaboration with various teams will be essential to drive model enhancements.
The Tech Lead/Staff Engineer at Wonderschool will lead the development of the Payments Platform, focusing on payment processing system reliability and efficiency. Responsibilities include managing complex projects, designing asynchronous systems, optimizing databases, implementing high-quality code, and collaborating with cross-functional teams. The role requires strong troubleshooting skills and a commitment to enhancing engineering standards.
The role involves leading a team in the development of efficient and scalable cell culture processes for biologics, collaborating across functions, training team members, authoring regulatory documents, and influencing technology implementation.
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