Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead full-stack software engineering projects and developers building cloud-based, distributed microservices and full-stack systems. Develop solutions using multiple programming languages, databases, container orchestration, and AWS technologies. Provide technical leadership across Agile teams, define service architectures, improve performance, reduce technical debt, establish engineering standards, mentor engineers, and influence long-term technology strategy.

Design, build, deploy, and maintain production machine learning models and infrastructure. Develop optimized data pipelines, distributed ML systems, cloud-based architectures, and automated testing and deployment workflows. Monitor and retrain models, collaborate with product and data science teams, and apply responsible AI, model governance, security, and explainability practices. The role also involves optimizing algorithms and infrastructure, scaling resilient services, and supporting production operations.

Leads technical vision and hands-on engineering for customer resiliency platforms. Designs scalable, operable systems; modernizes monoliths into microservices and event-driven architectures; establishes API, architecture, coding, and design standards; and drives cross-divisional technology initiatives. The role mentors engineers, influences senior leaders, supports platform strategy, communicates technical knowledge, and contributes across the full software development lifecycle.

Drives enterprise cloud infrastructure strategy, including cloud connectivity, landing zones, platform management, automation, and API standards. Defines technical vision, modernizes monoliths into microservices and event-driven architectures, leads cross-divisional initiatives, and mentors engineering teams. The role also advances cloud-native reliability, governance, security, AI-assisted engineering, technical standards, and strategic programs across the organization.

Designs, develops, deploys, and optimizes production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. The role leads multi-model orchestration, cost-performance optimization, technical standards, and AI roadmap development while mentoring senior engineering talent and applying responsible AI practices.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI systems for scalability, latency, throughput, cost, and hardware utilization. Own complex architectures, define reliability objectives, ensure security and compliance, contribute to long-term technical roadmaps, lead technical reviews, and mentor engineering colleagues.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, and orchestration pipelines. Optimize AI systems for cost, latency, throughput, scalability, and hardware utilization. Establish governance and engineering standards, contribute to technical roadmaps, lead design reviews, and mentor senior AI engineering talent.

Designs, develops, deploys, and supports large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. The role optimizes model performance, cost, latency, throughput, and hardware utilization; defines reliability objectives; owns complex AI architecture; leads technical reviews; and mentors engineering staff.

Leads technical vision and software architecture for complex banking systems. Designs scalable, operable solutions; modernizes monoliths into microservices and event-driven platforms; establishes API, coding, and design standards; and contributes hands-on across the software lifecycle. Mentors engineers, drives engineering excellence, collaborates with architecture and product leaders, leads cross-divisional initiatives, and advances cloud, data, distributed systems, and AI-enabled development practices.

Leads infrastructure product management for cloud operations resilience and enterprise connectivity. Defines platform strategy, improves network infrastructure, translates customer and business needs into technology products, drives innovation, resolves complex problems, and aligns cross-functional teams. The role focuses on resilient infrastructure supporting public cloud environments, campuses, and remote workers.