Top Tech Jobs & Startup Jobs

Design and implement system software and components for Azure storage virtualization, including drivers, libraries, telemetry, and diagnostics. Collaborate across teams, ensure reliability, security, testability, and monitor systems at cloud scale. Serve as on-call DRI to detect, alert, and remediate service issues.

Lead design and delivery of cloud-native, AI-first data platforms on Azure. Architect scalable data and AI solutions, drive engineering and DataOps excellence, mentor teams, implement MLOps and CI/CD, and accelerate customer value via prototyping, governance, and production deployments.

Drive complex, cross-functional engineering projects as a Product Owner: define customer scenarios, coordinate engineering and stakeholders, deliver roadmaps, track schedules, validate use cases, write test cases, collect metrics, lead governance and customer engagements to implement cloud and AI-based solutions.

Lead cross-functional engineering programs that build cloud and AI solutions with customers. Define success criteria, coordinate roadmaps, track schedules, drive staging/implementation, validate use cases, write test cases, and lead governance and customer engagements.

Lead cross-functional revenue strategy, planning, and sales enablement initiatives. Synthesize insights, design revenue models, drive field activation, manage end-to-end programs, and influence senior stakeholders to deliver scalable commercial outcomes.

Lead end-to-end service-health telemetry, reporting, and automation for Microsoft Fabric. Onboard scenarios with accurate telemetry, define metrics and alerts, support incident investigations, maintain dashboards, and coordinate cross-team efforts to improve performance and reliability using Power BI, DAX, Kusto, and scripting.

Lead execution of ISD partner strategy for an Area/OU: select and onboard partners, structure commercials and contracts, monitor partner performance, drive cloud consumption incentives, and align stakeholders to deliver measurable business outcomes.

Design, develop, and maintain AI-driven network and security intelligence solutions. Build and operate data engineering pipelines (Spark, Synapse/ADF, Kusto, Fabric), apply machine learning and generative AI (Azure OpenAI), troubleshoot live-site issues, participate in on-call/DRI rotation, and collaborate with cross-functional teams to ensure scalable, reliable, and secure solutions.

Lead long-term product vision and roadmap for Windows gaming platform features. Drive cross-team execution, author PRDs, define success metrics with analytics, improve gameplay performance and reliability across PC devices, and represent Windows gaming externally.

Lead technical pre-sales engagements for Microsoft solutions by understanding customer needs, designing architectures, demonstrating proofs of concept, enabling partners, and influencing solution strategy to drive adoption and technical wins across cloud, hybrid, and security scenarios.