Top Tech Jobs & Startup Jobs

Lead software and infrastructure engineering for Azure AI services in air-gapped and sovereign cloud environments. Design, implement, test, deploy, and operate solutions across multiple codebases and architectures. Build automation, deployment tooling, observability, and release validation; troubleshoot complex production issues; participate in on-call support; collaborate across teams; and mentor engineers. The role requires active Top Secret/SCI clearance with polygraph and U.S. citizenship verification.

Lead strategic investments across Azure Monitor telemetry onboarding, collection, routing, governance, and lifecycle management. Drive cross-team initiatives from concept through launch, translate customer and operational insights into prioritized work, engage with strategic customers, define measurable outcomes, and influence architecture, roadmap, and adoption to improve observability at cloud scale.

Owns product vision, strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Leads intake, packaging, launch, distribution, lifecycle management, reusable platform primitives, standardized contracts, automation, and self-service experiences. Partners with engineering, TPM, compliance, operations, and product teams to establish standards, manage dependencies, and improve onboarding through measurable metrics such as availability time, throughput, reuse, launch success, and reduced manual work.

Lead Microsoft's strategic account relationship with Providence, developing multi-year account plans and driving complex cloud, data, security, and artificial intelligence opportunities. Build executive relationships, coordinate sales, services, partner, and technical teams, address customer satisfaction risks, and connect Microsoft's solutions to healthcare transformation, operational, clinical, and business priorities. The role requires extensive experience with digital transformation, executive engagement, and closing large, complex agreements.

Build and maintain software services supporting Azure AI capabilities in air-gapped and sovereign cloud environments. Develop deployment automation, release validation, monitoring, and observability tools; collaborate across Azure on networking, identity, and infrastructure dependencies. Own features from design through production, participate in on-call rotations, troubleshoot service issues, write secure and tested code, and contribute to reviews, documentation, and continuous engineering improvements.

Lead technical program and product management for Microsoft's sovereign Azure cloud capabilities. Define product strategy, roadmaps, architecture improvements, and scalable processes while partnering with engineering, customers, sales, and business stakeholders. Translate customer needs into secure, resilient cloud capabilities, coordinate cross-functional delivery, communicate status to senior decision-makers, and foster collaboration and inclusion across distributed teams.

Drives Fabric quality Rhythm of Business, governance, operational excellence, and cross-organizational execution. Establishes review cadences, reporting, metrics, and accountability mechanisms; translates service health objectives into actionable programs; identifies quality gaps and operational inefficiencies; and uses telemetry, automation, data, and AI-assisted capabilities to improve reliability, prioritization, and decision-making across engineering and operations teams.

Product Management Intern supporting Microsoft Specialized Cloud products for U.S. government customers. Responsibilities include defining product vision, strategy, roadmaps, OKRs, metrics, and success criteria; analyzing customer needs and market opportunities; prioritizing features; collaborating with engineering, design, marketing, and business teams; gathering customer feedback; and using AI, telemetry, experimentation, and data analysis to improve product development and outcomes.

Leads sourcing, procurement, and commercial strategies for electrical and mechanical data center programs across the Americas. Manages supplier negotiations, long-lead equipment, demand planning, production schedules, delivery sequencing, risk mitigation, supplier performance, cost optimization, forecasting, governance, and capital planning. Partners with engineering, construction, finance, operations, and infrastructure teams to support retrofit execution, resiliency, modernization, sustainability, and timely deployment of critical data center systems.

Serve as a strategic and operational force multiplier for the Edge CVP and leadership team. Translate priorities into execution plans, operating rhythms, decision forums, and accountability mechanisms. Lead talent planning, organizational health, executive communications, special projects, and cross-functional initiatives. Own OPEX, COGS, headcount planning, forecasting, investment tradeoffs, and spend tracking. Manage and develop business management and program management teams.