Top Tech Jobs & Startup Jobs

Develops, secures, tests, deploys, and supports large-scale cloud services for mission-critical environments. Responsibilities include writing and reviewing code, designing reliable and scalable solutions, implementing security controls, automating deployments, monitoring live-site services, troubleshooting incidents, improving telemetry, and participating in on-call operations. Collaborates with product, security, and engineering teams to meet customer, privacy, compliance, performance, and reliability requirements.

Leads supplier business operations for Microsoft’s global cloud supply chain. Builds executive supplier relationships, establishes governance and performance scorecards, optimizes capacity and production readiness, manages supplier risks and escalations, and drives allocation, recovery, onboarding, factory qualification, and production ramp initiatives. Uses data-driven analysis, Lean methodologies, automation, and AI to improve supplier performance, quality, efficiency, and business continuity across global manufacturing and datacenter infrastructure operations.

Leads and coaches customer success teams managing strategic Microsoft accounts. Drives customer adoption, retention, expansion, cross-sell and upsell opportunities, executive relationships, delivery programs, security-focused planning, customer success plans, and consumption portfolios. Oversees escalation management, delivery metrics, stakeholder alignment, and team performance while advising customers on Microsoft technology direction and business value.

Lead software architecture and performance optimization for AI accelerator platforms across kernels, compiler/runtime, distributed training and inference. Prototype and validate software, analyze large-scale workload behavior to find bottlenecks and numerical correctness issues, and guide hardware-software co-design and production-scale system tradeoffs with cross-functional teams.

Design, build, evaluate, deploy, and monitor production-grade agentic AI services for Azure customer support. Develop multi-agent workflows, LLM and RAG solutions, evaluation systems, and secure cloud integrations using C# and Python. Implement CI/CD, automated testing, observability, responsible AI, and incident response while collaborating across engineering teams.

Build and improve scalable, reliable cloud security services for government environments. Design and automate service-scale capabilities, address customer requirements, investigate production issues, deploy fixes, and participate in a 24/7 on-call rotation within a secure facility. Collaborate with software engineers, program managers, security researchers, and data scientists while supporting complex cloud environments and engineering delivery practices.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Develop proactive communications strategies and compelling stories for Microsoft AI’s models, research, technical work, people, and vision. Lead executive and researcher thought leadership across media, speaking, social, podcasts, and events. Translate complex technical concepts into accessible narratives, build relationships with media and industry voices, create executive and editorial content, support major announcements, and monitor external narratives and reputational risks.