Top Tech Jobs & Startup Jobs

Leads architecture, technical strategy, and development of large-scale Dataverse business data, AI, distributed systems, and cloud platform capabilities. Designs reliable, secure, scalable services supporting enterprise applications, copilots, agents, retrieval systems, and intelligent automation. Drives modernization, reusable platform patterns, CI/CD, observability, testing, and operational excellence. Partners across engineering, product, research, data science, security, and business teams; mentors engineers and influences cross-organization technical direction.

Lead the architecture and hands-on development of agentic observability capabilities for Kubernetes and Linux. Build production-quality software, interpret systems telemetry using eBPF, mentor engineers, coordinate cross-team delivery, support open-source initiatives, and participate in on-call operations. The role focuses on safe, observable, and evaluable AI-agent workflows, distributed systems reliability, and technical leadership across engineering teams.

Lead architecture and development of Microsoft’s scalable agent runtime platform for Copilot, including agent memory, conversation storage, long-running tasks, extensibility, and multi-agent collaboration. Drive AI-native software development, system design, reliability, security, testing, observability, deployments, incident response, and cross-team delivery. Manage dependencies, mentor engineers, improve team practices, and oversee employee growth and performance.

Lead experimental development of quantum hardware by designing and executing cryogenic RF and transport measurements on semiconductor, dielectric, metal, and superconducting materials. Automate and improve quantum measurement workflows, apply AI methods, analyze device performance, and collaborate with materials science, nanofabrication, microwave engineering, and quantum device physics teams.

Lead the architecture and technical strategy for the native Windows App client connecting to Windows 365, Azure Virtual Desktop, and remote PCs. Design secure, reliable, high-performance systems spanning applications, services, operating-system APIs, networking, identity, and cloud experiences. Investigate complex concurrency, memory, performance, compatibility, and reliability issues; guide multi-team delivery and live-site operations; establish engineering standards; and mentor senior engineers and technical leaders.

Design, build, and operate Python and C# services that automate security assurance, compliance evidence collection, control validation, and risk detection. Apply AI agents, LLM workflows, and secure development practices; integrate Azure, Microsoft Graph, identity systems, CI/CD, and telemetry platforms. Establish monitoring and evaluation for AI components, operate production services, participate in incident response, and provide technical leadership through architecture, reviews, mentoring, and cross-functional collaboration.

Leads cross-functional continuous improvement and commercial transformation initiatives. Responsibilities include redesigning business workflows, operationalizing strategy, identifying AI and automation opportunities, facilitating Kaizen events, aligning senior stakeholders, analyzing performance data, managing change, and sustaining scalable process improvements across sales, planning, and revenue operations.

Lead strategic enterprise account teams serving telecommunications, media, and gaming customers. Drive AI, Copilot, security, cloud, and data solution adoption; develop go-to-market strategies; engage C-level decision-makers; grow revenue, consumption, and market share; secure complex agreements; and build long-term customer and partner relationships.

Own the multi-year sourcing vision and category strategies for Azure spares hardware. Lead supplier relationships, strategic negotiations, capacity planning, cost optimization, risk mitigation, and executive governance. Develop sourcing frameworks covering make-or-buy, multi-sourcing, lifecycle transitions, warranty, repair, reuse, and total cost of ownership. Transform sourcing processes through scalable data, analytics, and AI-enabled tools while influencing Engineering, Quality, Finance, Planning, and senior supplier leadership.

Designs, implements, and leads large-scale distributed systems and foundational AI infrastructure. Responsibilities include technical strategy, architecture, observability, security, testing, production automation, incident resolution, open-source collaboration, cross-team influence, mentoring, and improving infrastructure for AI workloads such as model inference.