Top Software Engineer Jobs in San Francisco Bay Area, CA

Seeking a Senior Platform Engineer with experience in Workday functional configuration tasks such as HCM, Recruiting, Benefits, Compensation, and Time Tracking. Responsibilities include delivering solutions in Workday, maintaining documentation, and providing production support for Workday systems.

Experienced Senior Lead Engineer in Generative AI Product Engineering at Capital One, leading the development of APIs and SDKs to access AI models at scale. Responsible for building core APIs and SDKs, designing APIs for performance and real-time applications, and enhancing customer experiences using Large-Language Models (LLMs) and Foundation Models (FMs).

Seeking a Principal Platform Engineer with experience in Workday functional configuration tasks such as HCM, Recruiting, Benefits, Compensation, and Time Tracking. Responsible for delivering solutions in Workday and maintaining high standards in a collaborative environment. Full-time position with a focus on automation and innovation in Human Resource Technology at Capital One.

As a Distinguished Engineer at Capital One, you will lead large-scale machine learning initiatives to solve challenging business problems in the financial services industry. You will provide technical leadership, design and implement machine learning applications, optimize data pipelines, and mentor engineering teams. The role requires at least 10 years of experience in data-intensive solutions using distributed computing, proficiency in Python, Scala, C, C++, and expertise in machine learning development lifecycle.

The Senior Platform Engineer, Workday (Security) at Capital One is responsible for leading the design, implementation, and maintenance of security measures to protect the HR Workday environment.

Senior Lead Engineer role at Capital One focusing on building and maintaining APIs and SDKs for AI models at scale. Responsible for designing and implementing key API products and services, enabling real-time customer-facing applications, and ensuring AI safety and guardrails.

Senior Manager, Machine Learning Engineering at Capital One focused on designing, building, and implementing ML applications at scale. Responsibilities include developing ML models, optimizing data pipelines, and ensuring successful deployment of ML models. Requires 8+ years of experience in data-intensive solutions using distributed computing, programming in Python, Scala, or Java, and leading teams in developing ML solutions.