Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Develops, tests, maintains, debugs, and modernizes IBM Assembler Language Code applications on z/OS mainframes. Responsibilities include modifying legacy code, conducting trial runs, documenting program logic, resolving issues with analysts and IT staff, interfacing with front-end systems, supporting migrations to Java or MongoDB, and complying with federal security standards.

Leads the analysis, design, development, and delivery of classroom, virtual, and hybrid learning assets. Creates objectives, design documents, storyboards, courses, curricula, manuals, simulations, games, and interactive experiences using instructional design principles and the ADDIE model. Collaborates with subject matter experts and project managers, manages milestones and risks, leads development teams, and ensures deliverables meet quality and Section 508 accessibility standards.

Oversee day-to-day project execution, including technical, contractual, administrative, and financial activities. Supervise personnel, coordinate stakeholders and vendors, manage customer relationships, monitor schedules and deliverables, ensure contractual compliance and quality standards, prepare status reports, and resolve risks and issues. The role supports successful delivery of federal government projects and requires active Secret clearance.

The Data Engineer will design and maintain ETL pipelines in Azure Databricks, manage data migrations, and ensure data quality and governance.

The Business Analyst will evaluate business processes, define requirements, support Agile delivery, engage stakeholders, and provide project oversight.

Responsible for testing software functionality, managing defects, collaborating on requirements, performing accessibility testing, and contributing to QA process improvements.

Lead the design and implementation of APIs, develop data pipelines, and mentor teams on AI integration and Agile methodologies.

Lead the design and execution of test strategies and plans to ensure software quality, overseeing both manual and automated testing activities, defect management, and compliance with accessibility standards.

The Technical Project Manager will lead Agile teams, manage project roadmaps, engage stakeholders, and ensure successful solution delivery while overseeing risks and team blockers.

The AI/Machine Learning Engineer will develop systems for automating health benefits decisions, integrating large language models with rule-driven patterns, and ensuring compliance with regulations.