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

The Deal Flow Manager recruits, screens, and on-boards investment opportunities in the cannabis sector, managing relationships and developing systems to enhance the pitch process.

The AI Automation & Business Systems Analyst will design automation solutions, optimize business processes, and manage system integrations, mainly using Python, SQL, and various automation tools.

This role requires a Java/Cloud engineer with extensive experience in Java development, cloud technologies, and strong problem-solving skills, capable of working independently and communicating effectively with senior leadership.

Lead end-to-end platform reliability: define SLIs/SLOs, harden production architecture, ensure Kubernetes runtime and queue safety, run incident command for Sev1/Sev2, own observability/on-call/runbooks, and gate risky releases while delivering a prioritized reliability roadmap.

The Sr. Solutions Architect leads teams in resolving software configuration issues, implements DevOps practices, and ensures quality software delivery through automation and cloud tools.

As a Full-Stack Crypto Software Engineer, you will develop web and on-chain platforms for the Duper game, focusing on creating UIs, robust backends, and scalable data solutions.

Provide technical consulting services for Splunk deployments, assist clients in installation, configuration, and reporting, and ensure timely task completion.

The Senior Manager of Strategic Initiatives will lead the planning, execution, and monitoring of cross-functional strategic projects, building partnerships, and guiding decision-making for growth initiatives at Loti AI.

The role involves developing the Network Service Orchestration platform, focusing on API design, integration, and application workflows. Responsibilities include full SDLC, Agile methodologies, and reporting UI development.

Partner with traders and developers to define trading workflow requirements, design validation and control standards, build automated tests and production checks, document end-to-end systems, lead UAT, expand regression automation, and provide production support to improve trading platform resilience and transparency.