Top Tech Jobs & Startup Jobs in Austin, TX

Lead complex cloud, identity, supply-chain, and nation-state security investigations. Perform root-cause analysis, threat hunting, blast-radius assessment, attribution, and incident response across Microsoft telemetry. Operationalize intelligence into queries, detections, playbooks, and platform fixes; investigate adversary tradecraft; use AI-assisted tooling; produce executive-ready reports; and mentor peers in advanced investigations, forensics, and reverse engineering.

Lead enterprise GitHub and Azure architecture engagements, including DevSecOps transformation, GitHub platform governance, security automation, repository migrations, proofs of concept, and production delivery. Design scalable AI, agent, application, integration, and data solutions; oversee workload resiliency, security, capacity, and optimization; support customer adoption through technical workshops; provide escalation support; communicate platform feedback to engineering teams; and mentor customers, partners, and internal teams.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Leads Americas security architects in customer-facing engagements, enterprise security strategy, architecture reviews, escalations, and product feedback. Drives customer growth, security adoption, resilience, risk management, and AI transformation. Develops managers and technical leaders, builds high-performing teams, engages executive stakeholders, and provides technical thought leadership across Microsoft security solutions, cloud security, identity, data protection, SIEM, XDR, and security operations.

Design, build, and operate hyperscale Azure availability and control-plane services to achieve high VM SLAs. Lead architecture, author designs, implement reliable code, run livesite as DRI, and integrate predictive ML/AI models and generative AI for diagnostics and automated root-cause analysis.

Build and operate Azure platforms integrating specialized partner technologies with cloud services. Responsibilities include writing maintainable code, contributing to architecture and design decisions, testing features, supporting safe deployments, monitoring dependencies, using AI-assisted development tools, and maintaining live-site operations. The role emphasizes scalable, reliable, secure, and resilient distributed cloud services while collaborating with engineers, product managers, architects, and partners.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Drives technical execution and engineering excellence across Azure AI infrastructure delivery, including provider buildout, engineering readiness, validation, Dock-to-Live activities, and customer onboarding readiness. Develops telemetry, metrics, dashboards, automation, AI-powered systems, and agentic workflows to improve predictability, reduce operational toil, resolve technical bottlenecks, and accelerate deployment of customer-ready cloud capacity. Partners with engineering and provider teams and communicates risks and recommendations to technical and executive stakeholders.

Owns the weekly Americas End-to-End Project Delivery Review, reconciling portfolio risk, schedule, capacity, and milestone data for executive decisions. Facilitates leadership reviews, manages dependencies and escalations, and improves reporting processes. Drives AI and automation adoption by building Power Platform solutions, Copilot-based agents, dashboards, and workflows. Maintains SharePoint information architecture, establishes governance and documentation, and trains teams to use automation effectively.

Leads Microsoft sales teams and go-to-market strategies to drive revenue, cloud consumption, customer value, and AI transformation. Builds executive and partner relationships, develops market and account plans, coaches teams, manages performance, and ensures secure, compliant sales execution. The role also oversees pipeline growth, strategic partnerships, customer satisfaction, talent development, and cross-functional alignment across Microsoft business segments.