Top Senior QA Jobs in San Francisco Bay Area, CA
As a Senior Systems Engineer on the Browser Insights team, you will enhance and secure the systems that run browser interactions within ThousandEyes agents. Responsibilities include updating to the latest Chromium versions, troubleshooting failures, and maintaining application performance across web services.
As a Senior Growth Engineer, you will provide technical leadership within the Growth team, focusing on enhancing top-of-funnel conversion through innovative strategies and data-driven insights. Responsibilities include leading design discussions, resolving production issues, mentoring engineers, and ensuring project alignment with business goals.
As a Senior Engineer at Noyo, you will be responsible for building and maintaining APIs and app offerings related to benefits platforms. This includes working closely with different teams to enhance system performance and reliability and collaborating on new features from ideation to launch while ensuring seamless functionality of solutions.
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As a Software Engineer on the Domain Graph and API team, you will lead the development of foundational technologies that power customer systems by designing APIs and optimizing the platform for scalability and reliability. You will mentor other engineers and ensure high-quality deliverables through effective project management and collaboration with cross-functional teams.
The Technical Support Reliability Engineer IV will address complex, unique issues faced by clients in a SaaS environment. Responsibilities include collaborating with Implementation and Product Engineers, analyzing data for root cause identification, and suggesting solutions or code modifications. The role requires independent judgement and effective communication with both customers and engineering teams.
As a Senior Engineering Manager, you will lead the Content Delivery team, focusing on optimizing scalable content delivery systems. You'll collaborate with cross-functional teams to enhance the performance and reliability of our content platform, while mentoring engineers and overseeing system design for distributed systems.
As a Senior Site Reliability Engineer, you will develop systems and software to meet customer goals, collaborate with product management and engineering teams, engage in incident management and response, improve system reliability, and mentor other engineers in best practices for observability and automation.
As a Staff Software Engineer on the Safety Processing team, you will design and build scalable backend systems for processing safety-related signals, lead projects, and implement ML/AI models for improving content moderation. You will also guide the team in architectural challenges to ensure the safety of the platform.
As a Staff Software Engineer on the Notifications Platform team at Discord, you will design and develop a system for delivering billions of notifications daily. Your role involves gathering requirements, establishing a data collection pipeline, and coaching engineers while ensuring efficient and reliable performance for millions of users.
Lead multiple teams of managers and engineers, focusing on mobile performance and quality goals. Collaborate with cross-functional peers to drive business impact, improve engineering processes, and coach team members to reach extraordinary results.
The Staff Technical Program Manager (TPM) will lead the development and execution of complex systems within the Robotics TPM team, focusing on simulation and testing. Responsibilities include project management, agile planning, cross-functional collaboration, and driving program efficiency to achieve Cruise goals.
The Staff/Principal Software Engineer will lead backend development for AI-driven applications, ensuring secure data handling and system functionality, while optimizing container orchestration with Kubernetes, and collaborating with other teams. The focus will be on building and maintaining a biometric recognition system to support a billion user-scale.
As a Staff or Principal Research Engineer, you will develop, deploy, and enhance models for Biometric Recognition and Presentation Attack Detection. Your role includes leading the development of deep learning models, maintaining training pipelines, and overseeing the entire model lifecycle, focusing on accuracy and reliability for a user base of over a billion.
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