Top Tech Jobs & Startup Jobs

Lead end-to-end operational governance for enterprise opportunities: manage intake, triage, routing, approvals, execution tracking, and outcome reporting. Drive cross-functional alignment, establish governance forums and reporting, build dashboards and scorecards, track investments and risks, and lead process improvement and automation to scale enterprise opportunity workflows and provide executive visibility into portfolio health and outcomes.

Lead design and implementation of scalable, reliable, secure distributed advertising platform services. Drive architecture, partner with PM/Data Science, deliver end-to-end projects, use telemetry and A/B testing, mentor engineers, and influence platform-wide technical direction.

Own architecture and implementation of the Microsoft Advertising Mediation Service: build highly scalable, low-latency Go services, extend bidder adapters, improve auction and experimentation subsystems, harden Azure-native infrastructure (AKS, Event Hubs, Blob Storage), enhance observability and CI/CD, mentor engineers, participate in oncall and incident response, and drive reliability, performance, and cost improvements.

Lead operational demand strategy and roadmap to improve Azure stability, reliability, and supportability. Influence cross-organizational product investments, drive AI-first automation (agents/copilots/LLMs), define success metrics, apply systems thinking to scale solutions, and deliver measurable customer and engineering outcomes while fostering inclusive leadership and continuous improvement.

Lead supply chain planning transformation for Microsoft Cloud: define strategy, align stakeholders, manage portfolio delivery, coach teams, set KPIs/OKRs, partner with engineering for solutions, oversee change adoption, and ensure solution quality, compliance, and measurable business value across large-scale planning initiatives.

Design, build, and ship full‑stack AI-powered features and reusable platform components. Integrate LLMs, multimodal models, retrieval, agents and tool-calling into production web/desktop services. Own testing, deployment, telemetry, experimentation, reliability, and responsible-use practices while partnering with PM, Design, Applied Science, and Data Science.

Design and evaluate scalable quantum computing systems across qubit technologies. Build performance models and toolsets, identify bottlenecks and resource trade-offs, define subsystem architectures, and collaborate across device modeling, error correction, and applications teams to enable quantum applications.

Design, build, and maintain Linux-based device and service management software for hyperscale datacenters. Work across low-level device interfaces, firmware, kernel and boot flows, telemetry and monitoring pipelines, and cloud-scale distributed services. Drive reliability, debugging, production support, and cross-team integration while delivering secure, maintainable code and operational readiness.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Lead development of end-to-end signal integrity simulation methodologies for quantum systems. Build and validate system-level models predicting fidelity, crosstalk, timing, noise, attenuation, and bandwidth. Drive architecture trade studies, define modeling standards and validation practices, partner with Cryo-CMOS, packaging, readout, and qubit teams, and document results to reduce risk and accelerate hardware development.