Teams at Microsoft

Design, build, test, deploy, and operate secure, reliable, scalable software and services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, and deliver production-ready outcomes. Apply engineering best practices including code reviews, testing, CI/CD, observability, documentation, and security compliance. Develop reusable components, prototype rapidly, incorporate feedback, and collaborate with data science, product, design, and security teams. The role may involve AI and LLM-based solutions and travel up to 25%.

Leads strategic enterprise Cloud and AI sales opportunities from qualification through commercial commitment, execution readiness, transition, and early value realization. Builds executive relationships, shapes transformation strategies and architectures, develops value cases and Azure consumption plans, and coordinates Microsoft specialists, engineering, delivery, finance, partners, and deal teams. Advises customers on AI, cloud modernization, security, governance, reliability, FinOps, and enterprise operating models while supporting strategic Azure commitments and coaching peers.

Develops cloud-based software solutions with strategic customers and Microsoft product teams. Responsibilities include gathering requirements, designing features, writing and reusing code, estimating work, participating in on-call support, and improving system reliability, observability, performance, and operational consistency. The role also contributes to open-source software and requires collaboration across engineering, data science, program management, and design teams.