Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead and develop Site Reliability Engineering teams responsible for Microsoft Substrate services in regulated environments. Own reliability, availability, incident response, disaster recovery, SLOs, operational metrics, and compliance. Drive automation, self-healing systems, observability, engineering-led operational excellence, and durable post-incident improvements. Partner across engineering, product, security, infrastructure, and compliance teams while shaping reliability strategy and mentoring senior and principal engineers.

Lead architecture and hands-on implementation of Microsoft's AI Safety Platform, building large-scale observability, monitoring, detection, investigation, and threat-hunting systems. Develop distributed data pipelines, correlate telemetry, apply AI security research, and support attack reconstruction and anomaly detection. Partner across engineering, research, security, and privacy teams; conduct architecture reviews, write production code, review designs, mentor engineers, and influence technical direction across teams.

Develop and manage strategic technology partnerships across the U.S. and Americas. Build executive relationships, create account and co-selling plans, grow partner pipelines and revenue, promote Microsoft solutions, secure marketing investments, drive cloud consumption, and resolve escalations. Lead business reviews, partner enablement, market opportunity identification, and cross-functional collaboration with sales, technical, and go-to-market teams.

Leads the design and evolution of cloud-native platforms, distributed systems, and infrastructure services at scale. Responsibilities include architecture, service lifecycle management, automation, observability, reliability, CI/CD, security, and operational readiness. The role focuses on AI and HPC infrastructure, GPU environments, datacenter networking, bare-metal systems, and accelerated computing while influencing technical strategy across organizations and mentoring engineers.

Lead consultative, value-driven sales to plan, orchestrate, and close enterprise AI Workforce transformations using Microsoft Copilot and related AI solutions. Build stakeholder networks, drive pipeline, cross-sell/up-sell, and guide technical and business decision-makers to adopt AI-powered productivity at scale.

Leads enterprise sales strategy and end-to-end account execution for Azure cloud and AI solutions. Manages forecasting, territory planning, pipeline generation, partner engagement, customer consultations, demonstrations, proof-of-concepts, and deployment strategies. Advises customers on Azure analytics, data, AI, applications, and infrastructure, translating technical capabilities into business value. Coordinates Microsoft teams and partners, drives strategic deals and consumption, mentors colleagues, and shares customer insights with engineering and business teams.

Develop and operate scalable Azure Arc and Kubernetes-based hybrid cloud platforms. Build KubeVirt and KVM virtualization capabilities integrating virtual machines and containers across cloud, datacenter, and edge environments. Responsibilities include designing features, coding, estimating work, participating in on-call operations, and improving system reliability, observability, availability, and performance. The role involves distributed systems, open-source collaboration, and cross-team partnership across Microsoft.

Lead design and delivery of production-ready cloud and AI systems while embedding with customer teams. Own end-to-end architecture, secure coding, CI/CD, testing, observability, and operational excellence. Mentor engineers, drive adoption, create reusable assets, and coordinate complex deliveries to achieve measurable business outcomes.

Drive technical sales and adoption of Microsoft AI and cloud platforms through PoCs, demos, hackathons, and architecture workshops. Design secure, scalable AI application architectures, resolve technical blockers, collaborate with engineering, and provide developer-facing thought leadership to accelerate production deployments and developer productivity.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers and stakeholders to translate needs into technical designs, drive engineering best practices (CI/CD, automated testing, observability), deliver end-to-end solutions, and lead technical workstreams. Apply AI/LLM techniques, reusable components, and a security-first mindset while collaborating across disciplines.