Top Tech Jobs & Startup Jobs

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 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.

Design, automate, deploy, and support large-scale cloud networking solutions across Azure. Troubleshoot live-site incidents, improve performance, contribute to incident response and postmortems, and collaborate on scalable Layer 3 network designs (BGP/OSPF/IPv6, EVPN/VXLAN, SDN/NFV). Participate in on-call rotation and mentor peers.

Lead and advise customers through migrations from Google Workspace, Exchange, Box, Dropbox, and file shares to Microsoft 365 (Exchange Online, OneDrive, SharePoint). Assess requirements, design migration strategies, coordinate delivery teams and partners, mitigate risks, optimize migration throughput, and develop reusable playbooks. Influence product and tooling improvements and drive adoption and customer success across stakeholders.

Own and resolve complex customer technical issues and lead end-to-end AI initiatives: architecture, model selection, RAG and agentic pipelines, prompt and tooling design, safety guardrails. Drive roadmap, releases, and governance (Responsible AI, model-risk, privacy, compliance), validate outcomes with telemetry, and own the customer supportability experience while collaborating with applied science and engineering.

Design, implement, and deliver large-scale LLM API management and AI inferencing platform services. Optimize cost, availability, and GPU management; coach teams and collaborate across organizations to run hyperscale, high-performance AI infrastructure.

Lead Responsible AI strategy, governance, and operationalization across Microsoft Security. Drive RAIS implementation via engineering systems and tooling, align MSec with enterprise RAI bodies, manage AI-related audits and regulatory inquiries, assess and mitigate AI risks, establish controls/metrics, and advise leadership to improve organizational maturity and compliance.

Design, build, operate, and maintain resilient, large-scale distributed cloud services (Azure Key Vault). Apply computer science fundamentals, microservices, RESTful APIs, event-driven/serverless patterns, strong problem solving, and cross-team communication to deliver secure, highly available systems.