Top Tech Jobs & Startup Jobs

Lead and grow an engineering team to design, build, and operate AI-infused, enterprise-scale cloud applications. Drive technical strategy, architecture, operational excellence, AI-native engineering adoption, cross-team alignment, and delivery of secure, scalable microservices and platform solutions on Azure.

Design, build, and operate distributed microservices on Azure; integrate AI (Azure OpenAI, Semantic Kernel); ensure security, scalability, and observability; own features end-to-end, participate in on-call rotation, and contribute to CI/CD and DevOps practices.

Design, build, and maintain scalable data solutions and pipelines; optimize data models; implement validation and monitoring for data quality; extract insights via advanced analytics; troubleshoot pipelines; prioritize security, scalability, and maintainability; mentor peers and promote engineering best practices.

Advise banking and insurance executives on enterprise-scale AI and digital transformation. Originate industry-led opportunities, develop multi-year strategies and business cases, align Microsoft cloud/data/AI capabilities, and qualify Forward Deployed Engineering engagements to move pilots into production. Collaborate with account teams, partners, and engineering to scale secure, governed Frontier AI solutions across lending, payments, fraud, risk, compliance, operations, and customer experience.

Build and maintain Microsoft Ads front-end UI for campaign management. Collaborate with PMs and designers to design, implement, and operate features, build metrics, and integrate AI-powered capabilities to improve product and engineering productivity.

Build and maintain large-scale, AI-enabled solutions to automate marketing planning and operations. Design, implement, and test reliable, secure, and scalable systems; apply AI-native engineering practices, telemetry, and feedback to optimize performance and user outcomes. Collaborate with stakeholders to deliver impactful features and promote engineering best practices across the team.

Drive large-scale modernization across a legacy mono-repo: remove CoreXT, migrate .NET Framework to .NET, enable Linux and Rust adoption, build agentic tooling, rapidly learn unfamiliar systems, produce durable designs, and collaborate across teams to remove organization-wide obstacles.

Lead enterprise-scale AI transformation programs: design lighthouse pilots, translate strategy into roadmaps, establish governance and change management, mentor teams, drive cross-functional delivery, and codify playbooks for sustained adoption.

Design and build large-scale distributed cloud services for AI-driven Windows cloud experiences. Lead system design, code reviews, testing, monitoring, and performance optimization while ensuring security, reliability, and cross-team delivery.

Lead and coach an enterprise security sales team to exceed targets by driving customer engagement, sales strategy, technical adoption, cross-sell/upsell, and talent development across Microsoft Security solutions.