Top Tech Jobs & Startup Jobs in San Francisco, CA

Develop and operate software that automates hardware validation, onboarding, lifecycle management, metadata tracking, and security for Microsoft datacenters. Responsibilities include requirements gathering, system design, coding, debugging, optimization, reliability improvements, monitoring, on-call support, and technical leadership across Azure teams.

Designs and leads customer-facing cloud and AI application engagements on Azure, including architecture, proofs of concept, modernization, production readiness, and operational optimization. The role focuses on Azure Logic Apps, AI Foundry, AKS, App Service, APIM, GitHub, containers, and DevOps. Responsibilities include workshops, technical delivery oversight, reusable intellectual property, customer success planning, escalation support, application migration, security, resiliency, mentoring, and influencing product improvements.

Leads end-to-end sales enablement and go-to-market programs across cross-functional teams. Develops program plans, field-facing content, communications, training, launches, governance, and reporting. Monitors adoption and business impact, gathers stakeholder feedback, and designs improvements to increase field effectiveness and revenue outcomes. Serves as the connection between corporate strategy and sales execution while building relationships with field leadership and global stakeholders.

Develop and operate production-quality AI framework, runtime, benchmarking, performance, automation, and observability systems. Benchmark, profile, debug, and optimize large language model workloads across GPUs and Microsoft hardware. Lead cross-stack investigations, improve model onboarding, reliability, hardware utilization, and Azure capacity efficiency, while collaborating with researchers, infrastructure teams, hardware partners, and engineers. Principal-level responsibilities include setting technical direction, defining architectures, leading strategic initiatives, and mentoring technical leaders.

Investigate and resolve complex customer security incidents, including threat detection, incident triage, malware and log analysis, containment, root-cause investigation, and security response coordination. Develop incident-response runbooks, analyze endpoint, server, and network environments, collaborate with security and threat-intelligence teams, support Microsoft security technologies, maintain threat-landscape expertise, and participate in on-call rotations while providing empathetic customer engagement.

Lead design and implement scalable Azure full-stack solutions for Microsoft Skilling platforms. Build CI/CD, automation, observability, and Copilot/GenAI features; improve test automation and reliability; mentor engineers and coordinate cross-team dependencies to deliver secure, high-quality services at enterprise scale.

Design, develop, test, and operate scalable Azure networking software and automation platforms. Automate device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Build AI-powered agents and data-driven tools for troubleshooting, root-cause analysis, and engineering productivity. Develop reliable distributed systems with observability, diagnostics, recovery, and scalability while collaborating across engineering teams and driving architecture, code quality, testing, monitoring, and continuous improvement.

Serves as the primary technology strategist and trusted advisor for strategic Air Force accounts. Develops multi-year modernization strategies, drives Azure, AI, security, and Microsoft Cloud adoption, builds executive and technical relationships, identifies business opportunities, and coordinates specialists, engineering teams, customer success resources, and partners to deliver mission outcomes.

Drive technical pre-sales for Microsoft cloud database and analytics products by running demos, PoCs, hackathons, and architecture workshops. Design secure, scalable data architectures, resolve technical blockers, collaborate with engineering, and accelerate customer migrations to Azure Databases, Fabric, Databricks, Purview, and related platforms.

Design and implement compiler, code-generation, JIT-compilation, system, and runtime components for deploying applications to AI accelerator devices. Analyze and transform LLVM IR, develop optimized systems-level software, collaborate with hardware and machine-learning teams, and plan deliverables while contributing to robust engineering practices.