Top Tech Jobs & Startup Jobs

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Develop and evaluate machine learning prototypes across training, fine-tuning, inference, and multi-GPU systems. Collaborate with researchers and product teams to transition research into production products. Responsibilities include performance tuning, data pipeline development, debugging, model evaluation, technical communication, academic publication, software security, and ethical data handling. The role also requires contributing to research strategy and maintaining high engineering standards.

Conduct applied AI and machine learning research for Microsoft products. Design, train, fine-tune, and evaluate models including LLMs and SLMs; analyze large datasets; build scalable prototypes; design experiments and benchmarks; optimize model performance; and collaborate with researchers, engineers, and product teams to deploy research innovations. Document findings through technical reports, publications, patents, or open-source work.

Supports business operations, planning, logistics, budget tracking, headcount administration, business continuity, communications, and strategic initiatives. The apprentice will coordinate with cross-functional stakeholders, prepare reports and leadership updates, support employee engagement and organizational health programs, and contribute to special projects. The six-month program includes onboarding, professional skilling, mentoring, job shadowing, and on-the-job training in digital transformation and advanced technologies.

Senior Corporate Counsel serving as lead legal advisor for Saudi Arabia and potentially other Middle East markets. Advises Microsoft leaders, commercial teams, public sector customers, regulators, and partners on corporate, commercial, regulatory, compliance, cloud, AI, data protection, government contracting, procurement, intellectual property, competition, and strategic partnership matters. Drafts and negotiates agreements, manages legal risks and outside counsel, supports responsible digital transformation, and contributes to regional legal strategy.

Own worldwide AI Business Process sales strategy, revenue, consumption, pipeline, and forecasting across Dynamics 365, Copilot Studio, agents, and related solutions. Lead and coach a global specialist sales community, engage executive customers, drive partner co-sell motions, enforce sales methodology and execution standards, develop talent, and translate field insights into global go-to-market strategy. The role also drives adoption, consumption planning, technical skilling, deal inspection, and business performance across regions.

PhD-level applied science intern role to design, train, and scale ML models (search, ranking, recommendation, retrieval, NLP, CV). Responsibilities include dataset curation, building ML/data pipelines, running experiments and statistical evaluations, and collaborating with engineers and product teams to productionize AI solutions using cloud technologies.

Provides hands-on software engineering and technical leadership for Microsoft Fabric’s platform experience. Responsibilities include designing large-scale browser-based and full-stack applications, leading architecture and implementation across multiple teams, mentoring engineers, driving engineering excellence, and collaborating with product, UX, and program stakeholders. The role also leads AI-assisted and agentic development capabilities that improve developer productivity.

Leads technical pre-sales engagements focused on security solutions, advising customers and partners on architecture, cloud and hybrid environments, migrations, compliance, and technology strategy. Builds customer win plans, conducts technical discussions, demonstrations, architecture sessions, and proofs of concept. Coordinates partner resources, identifies capability gaps, shares competitive insights with product and engineering teams, and acts as a trusted security advisor supporting digital transformation and customer success.