Top Tech Jobs & Startup Jobs

As a Senior/Lead/Principal Backend Software Development Engineer, you will develop robust APIs, work on large data sets in the cloud, and integrate systems while following best practices in test-driven development and Agile methodologies. This role also involves significant collaboration with fellow engineers to ensure high-quality, scalable software solutions.

Join a team at Salesforce to develop backend applications for various clouds. Responsibilities include designing and implementing robust APIs, integrating with internal and external systems, and participating in on-call rotations to maintain service availability. Emphasizes the use of high-quality, maintainable code and Agile methodologies.

The Responsible AI Data Scientist at Salesforce will assess various machine learning techniques to provide insights for production readiness, support model fairness and safety, and collaborate with teams on responsible AI practices and model testing.

The Responsible AI Data Science Engineer will assess machine learning techniques, build datasets, and develop metrics for AI model fairness and safety. This role involves collaborating with research scientists and engineering teams, creating analytical tools using Python and SQL, and participating in discussions to improve responsible AI practices.

The Associate Data Scientist will partner with various stakeholders to develop machine learning models, implement data transformation processes, and contribute to AI-powered features. Responsibilities include engaging with business requirements, supporting ML lifecycle management, and promoting best practices in data science.

The Product Line Manager Analyst will analyze data, gather business requirements, write functional specifications, and communicate with engineers to create solutions that enhance user experience with Salesforce software. The role involves using Agile methodologies and collaborating across teams to ensure effective delivery.

The job requires a senior engineer to develop and manage deployment capabilities for Salesforce services on Kubernetes. Responsibilities include designing automated deployment solutions, mentoring team members, and contributing to the Argo Rollouts open source project, focusing on safe and scalable deployments across multiple cloud providers.