Top Salesforce Developer Jobs in San Francisco Bay Area, CA

The Principal Engineer will build scalable systems, develop high-quality code, mentor engineers, and lead projects in a hybrid engineering model.

Lead and manage a team of iOS and Android engineers to enhance Slack's mobile app, ensuring alignment with organizational goals and fostering a collaborative coding culture.

Research Scientists at Salesforce will lead long-term research goals, develop solutions for large-scale problems, and collaborate across teams to advance AI technology. They will focus on NLP, LLMs, and deep learning to innovate and impact CRM applications.

The candidate will optimize software performance, analyze scalability, write efficient code, and collaborate with teams on performance improvements. Expertise in Java and SQL is crucial.

Develop and enhance scalable software products, mentor team members, implement testing frameworks, and address operational issues in real-time.

The role involves researching, designing, developing, and enhancing software, implementing algorithms, and collaborating with teams to deploy high-quality software products.

The role involves optimizing and tuning the performance of Salesforce's multitenant databases, collaborating with development and operations teams to enhance performance and troubleshoot issues.

The role involves guiding the ethical development of AI products, mitigating risks, and delivering responsible AI strategies for Salesforce customers.

This role involves managing the reliability of Salesforce's AgentForce platform by triaging production issues, implementing automated solutions, and collaborating across teams to ensure service reliability and improved capacity.

The Architect Software Engineer is responsible for designing and implementing scalable, resilient distributed systems, with strong leadership and mentoring capabilities, and expertise in cloud environments.

As a Test Architect, you will enhance platform quality, drive test automation practices, collaborate with teams, and deliver high-quality outcomes for distributed systems.

Lead the development of advanced search and knowledge graph solutions, leveraging machine learning, LLMs, and optimization techniques for scalable enterprise applications.

As a Senior/Lead Software Engineer, you'll design and optimize Large Language Models for enterprise use, integrating AI in Salesforce products. Responsibilities include backend development, prompt engineering, and collaboration with cross-functional teams.

The Senior Manager will lead engineering teams in developing and maintaining distributed systems and data pipelines for AI, focusing on LLMs and Knowledge Graphs. Responsibilities include strategic collaboration, team management, and promoting a culture of innovation.

The role involves developing Search and Knowledge Graph solutions, optimizing search efficiency, leading technical initiatives, and collaborating with teams to enhance AI-driven experiences.

Lead a team in developing generative AI technologies, focusing on innovation, collaboration, and team growth while implementing improvements in processes.

The ML Engineer/Data Scientist will design and support intelligence features for search services, analyze data for relevancy improvements, and deploy machine learning models at scale.