Top Tech Jobs & Startup Jobs

Develop, evaluate, and deploy AI-powered detection systems using language models, agents, and multimodal AI to identify phishing, fraud, scams, and other social engineering threats. Translate research into production solutions, design experiments, analyze model behavior and operational performance, define success metrics, and collaborate with research, engineering, and product teams to improve customer protection at global scale.

Plans and executes signal and power integrity measurements on Azure compute hardware using VNAs and oscilloscopes. Prepares and modifies server hardware, including soldering and component installation or removal. Develops probing solutions, processes validation data, prepares reports, and maintains laboratory equipment and infrastructure.

Leads strategic supplier quality for electrical datacenter equipment, including supplier audits, equipment qualification, quality planning, factory witness testing, inspections, process assessments, root cause analysis, reliability improvement, and corrective actions. Partners with engineering, procurement, supply chain, construction, NPI teams, and vendors to resolve quality gaps, mitigate defects, and strengthen supplier performance across large-scale datacenter projects.

Manages the creative organization’s portfolio, workflows, schedules, resources, and governance. Builds visibility into priorities, capacity, utilization, risks, dependencies, and delivery health through dashboards and reporting. Coordinates producers, creatives, agencies, vendors, and stakeholders; balances workloads, forecasts staffing needs, facilitates planning sessions, and recommends mitigations for bottlenecks and resourcing gaps. Continuously improves operational processes and throughput across integrated marketing and creative projects.

Leads the architecture and technical direction of the Dynamics 365 Finance and Operations UI platform. Designs secure, scalable, reliable, performant, and accessible interfaces; partners with engineering, product, and design teams; evaluates emerging technologies; prototypes AI and MCP App experiences; drives technical alignment; and mentors engineers on software quality and best practices.

Leads architecture and implementation of Microsoft Red Team visibility, telemetry, monitoring, detection, alerting, deconfliction, and operational security capabilities. Designs scalable services and data pipelines, maintains authoritative operational asset inventories, identifies systemic security gaps, and drives durable engineering solutions. Provides hands-on technical leadership, architecture reviews, debugging, incident response, mentorship, and cross-organizational influence while enabling authentic Red Team operations with strong defensive visibility and control.

Lead development and delivery of physical design tool flows, methodologies, and sign-off for block, sub-chip, and full-chip levels of Microsoft Next‑Gen AI SoC. Responsibilities include PnR convergence, STA and timing ECOs, PV and FEV sign-off, global clocking, EM/IR analysis, IP collateral validation, design reviews, and mentoring junior engineers.

Designs and deploys scalable security controls that prevent recurring identity-platform vulnerabilities. Translates breach learnings and threat actor behavior into reusable enforcement frameworks, integrates protections across production services, and automates countermeasures across Microsoft’s identity fleet. The role partners with engineering teams to strengthen authentication and authorization defenses while maintaining service reliability.

Provides principal-level technical leadership for global cloud network validation, automation, reliability, live-site operations, and AI engineering. Designs vendor-agnostic testing frameworks, quality gates, CI/CD deployment systems, observability, rollback, drift detection, and self-healing mechanisms. Leads complex network incident investigations, establishes operational standards, drives architectural decisions across engineering and operations teams, mentors engineers, and develops AI-assisted capabilities for network troubleshooting and automation.

Conduct machine learning and statistics research alongside Microsoft researchers, applied scientists, and engineers. Interns will develop or contribute to theoretical and applied research, collaborate with peers and mentors, present findings, and support research and development projects across areas such as generative models, causal inference, reinforcement learning, deep learning, and forecasting.