Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate production-grade software, APIs, workflows, and user experiences for Microsoft’s cloud datacenter inventory and asset management platforms. Responsibilities include translating ambiguous operational needs into technical solutions, applying AI-native engineering practices, improving automation, ensuring reliability and security, and owning features through design, implementation, deployment, monitoring, and continuous improvement. The role collaborates with product, program, datacenter operations, supply-chain, and engineering teams.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Own AI adoption, culture, organizational health, and complex business programs for Microsoft’s sales acceleration organization. The role leads operating-model transformation, removes adoption barriers, coordinates culture initiatives and leadership communities, tracks program and organizational impact, and manages portfolios with timelines, milestones, budgets, risks, resources, and success metrics. It requires cross-functional influence, executive communication, change management, and measurable delivery across matrixed teams.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Leads strategic cloud capacity acceleration initiatives across engineering, networking, architecture, supply chain, operations, finance, and regional delivery. Builds governance, operating models, decision frameworks, and execution rhythms that improve delivery speed and predictability. Drives alignment, resolves systemic bottlenecks, develops executive narratives, and influences outcomes without direct authority. The role also develops leaders and scalable organizational capabilities across Microsoft’s global cloud infrastructure ecosystem.

Leads sales strategy enablement for Microsoft’s retail and consumer goods segment. Develops AI transformation narratives, identifies repeatable customer and commercial patterns, and converts successful engagements into scalable sales motions, playbooks, discovery methods, value frameworks, and partner pathways. Supports strategic opportunities, pipeline acceleration, executive engagements, and deal closure while coordinating across sales, engineering, marketing, customer success, advisory, and partner teams.

Lead commercial strategy and execution for complex Defense Industrial Base accounts. Own large, multi-year negotiations; assess financial, contractual, and compliance risks; shape deal structures; influence Sales, Finance, Legal, Deal Desk, and Policy teams; maintain forecast accuracy and audit-ready agreements; and serve as a senior commercial expert and mentor without formal people-management responsibilities.

Lead technical vision and architecture for AI frameworks, performance, benchmarking, and tooling. Drive cross-team alignment, mentor engineers, ship high-performance distributed software, and improve model onboarding, runtime performance, reliability, and Azure hardware efficiency.

Perform advanced threat hunting and deep analysis of attacker activity across on-premises and cloud environments, notify customers of imminent threats, build proof-of-concept hunting tools and automations, synthesize findings into mitigation recommendations, and drive product/tool improvements by transferring threat intelligence and investigation best practices to engineering and customer teams.

Develop production-ready AI applications, agents, integrations, and workflows using Microsoft Cloud and AI platforms. Guide partners on architecture, software engineering, security, governance, privacy, Responsible AI, testing, CI/CD, observability, and operational readiness. Co-engineer solutions with external teams, build reusable accelerators, and help scale agentic and LLM-powered applications from concept through production while delivering measurable business outcomes.