Top Tech Jobs & Startup Jobs

Design, build, and operate cloud-native distributed backend services and microservices. Ensure high availability, low latency, security, and reliability. Work on API design, service orchestration, telemetry/diagnostics, service-to-service communication, and deployment automation while collaborating with partner teams for integration and operational excellence.

Lead and conduct research on agentic AI, develop training algorithms and datasets for large language and multimodal models, design evaluation frameworks for reasoning and long-horizon tasks, prototype agentic capabilities (action models, memory, multi-agent orchestration), and drive research to publication and production impact in collaboration with engineers and product teams.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Lead architecture, evaluation, and optimization of high-bandwidth, low-latency networks for AI accelerator platforms. Collaborate with silicon and platform teams to co-design scalable, reliable infrastructure, prototype new network architectures, and influence industry standards and vendor roadmaps to drive Azure AI system performance and TCO.

Design, build, and maintain reliable, high-scale multi-tenant services with emphasis on security, resilience, testability, and automation. Collaborate cross-team, participate in on-call rotation, support live services in Azure air-gapped regions, and contribute to new service buildouts and operational reliability.

Build and maintain a capacity management portal and observability features for ML training and inference. Partner with researchers and PMs to turn requirements into intuitive UIs, integrate backend APIs across schedulers and training frameworks, develop internal tooling, and drive architectural improvements and best practices to improve efficiency and model quality visibility.

Design, build, and productionize AI-native software and agentic tooling across the SDLC. Lead architecture and engineering excellence, collaborate with researchers and product teams, and deliver scalable, secure, well-tested AI products and prototypes-to-production solutions.

Design, implement, deploy, and operate large-scale distributed backend systems and Azure infrastructure for AI-driven insights. Apply generative AI/ML, build IaC and CI/CD pipelines, support live-site operations, and execute onboarding and operational tasks for GCC‑High/DoD environments while ensuring security, observability, and cross-team collaboration.

Support Microsoft Copilot team with procurement/vendor management, headcount and organizational operations, budget planning and forecasting, financial monitoring, and day-to-day business operations. Partner with HR, finance, sourcing, and hiring managers to drive efficiencies, track headcount, manage contracts, and remove operational obstacles to enable team productivity.

Lead design, build, and operation of reporting and analytics solutions for Audit, Risk, and Compliance. Partner with engineering on ETL, web apps, APIs, and Azure cloud resources; develop Power Platform features; transform raw data into actionable insights; ensure solutions are stable, compliant, and scalable; educate stakeholders and drive data standards and continuous improvement.