Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable backend services and data pipelines for Places data powering Bing, Copilot, and grounding. Collaborate with product and engineering teams, own component design, write high-quality code, implement tests and automation, integrate telemetry, and improve tooling while ensuring security, privacy, and reliability. Contribute technical leadership and support large-scale data processing and ML/LLM workloads.

Lead SAP S/4 Finance subject-matter work to translate accounting requirements into scalable system solutions. Support close, consolidation, statutory and management reporting readiness, assess control and audit impacts, and partner with Engineering, Finance Data, Tax, Treasury, Legal, and Audit to design and validate SAP S/4 processes, controls, and technical solutions for accurate reporting and sustainment.

Drive finance reporting modernization by gathering requirements, translating needs into user stories, partnering with engineering and analytics to deliver reporting, automation, and BI solutions. Support backlog, sprint planning, UAT, stakeholder communication, process improvement, and adoption activities across financial planning, forecasting, budgeting, and headcount reporting.

Lead execution of the Advertising Billing Platform across pricing, invoicing, payments, reconciliation, and financial reporting. Coordinate cross-functional teams (Product, Engineering, Finance, Tax, Legal), manage dependencies and risks, ensure global compliance and scalability, deliver program plans and exec reporting, and measure business impact on revenue, billing accuracy, and payment success.

Build and evaluate machine learning, deep learning, and multimodal models for image discovery, selection, ranking, and freshness. Run large-scale experiments on petabyte datasets, contribute to near-real-time indexing pipelines, and collaborate with engineers and product teams to deploy production-scale AI solutions while following responsible AI and data governance practices.

Lead supplier and product quality for cloud hardware across the lifecycle. Partner with suppliers and internal teams to monitor performance, resolve high-priority issues, drive manufacturing and reliability improvements, implement supplier quality strategies, and support spare-part and continuity-of-supply programs to maintain global data center readiness.

Design, implement, and maintain high-quality, highly available microservices for Azure Messaging and Fabric. Drive AI adoption to improve development practices, optimize system IO and performance, and lead innovation in product and engineering processes while following rigorous development and security screening practices.

Lead SoC performance architecture for AI workloads: analyze bottlenecks with models, prototype performance and power optimizations on AI accelerators, develop and integrate SoC/IP models, and collaborate with design and verification teams to close on SoC performance.

Design, build, and scale the distributed compute and orchestration backbone for AI-driven vulnerability discovery and proof at Windows scale. Improve throughput, reliability, capacity planning, autoscaling, scheduling, and cost efficiency; build AI evals/benchmarks; own architecture and mentor engineers while coordinating with partner teams to deliver production-grade infrastructure.

Build and scale AI-driven vulnerability discovery systems: create AI evals/benchmarks, improve pipeline throughput and reliability, manage large-scale compute, capacity and orchestration for model hosting, and drive cost and billing/cost-of-goods modeling for Windows-scale autonomous security autopilots.