Top Engineering Jobs in San Francisco, CA

Develop and maintain Java and Spring backend services and APIs, integrating SQL Server and Cassandra databases with internal systems. Write tested, scalable code; implement database queries; debug defects and production issues; and participate in Agile/Scrum delivery. Collaborate with product managers and QA engineers while applying version control, CI/CD, DevOps, cloud infrastructure, Kafka messaging, and AI-powered development tools.

Build and maintain production-grade Python components that implement systematic signals and portfolio tooling. Integrate AI tools into development and investment workflows, partner with global tech teams to ingest and pipeline data, and support production systems with monitoring, incident response, and deployment processes. Document and train teammates while collaborating with researchers and portfolio managers.

The Salesforce Administrator oversees day-to-day Salesforce administration, configuration, and support in a multi-org setup, collaborating with stakeholders to optimize business processes and user experience.

The role involves building and supporting data-centric applications, ensuring quality data delivery, and troubleshooting issues in a fast-paced environment.

Lead the engineering team for BlackRock's SMA Solutions, defining strategy and overseeing the development of a scalable portfolio construction platform, mentoring engineers, and managing software solutions.

Lead Salesforce QA by designing and executing test plans for declarative and programmatic Salesforce features, integrations, and APIs. Develop automated tests (Copado Robotic Testing), perform integration, regression, functional and data validation testing across Salesforce and external MySQL systems, collaborate with developers and product owners, improve QA processes, and support multi-org Salesforce setups.

Design, build, and support data-centric integration services for portfolio construction and reporting, ensuring reliability and scalability across APIs and data pipelines.