Staff Cloud Infrastructure Architect

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we’ve created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that’s transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let’s transform healthcare together. POSITION SUMMARY The Staff Cloud Infrastructure Architect shapes resilient, secure, and scalable cloud foundations that accelerate Empower's growth, protect business operations, and improve technology economics. This role owns architecture standards, reference patterns, modernization roadmaps, and technical decisions across Azure, AWS, networking, platform engineering, and Infrastructure-as-Code, partnering with Security, Quality, Data, and Application teams. AI serves as a force multiplier to increase delivery speed, operational scale, engineering quality, and decision-making through intelligent automation, predictive insights, and problem resolution. Success requires navigating Empower's hyper-growth, highly regulated 503A/503B environment with disciplined risk management, audit readiness, and execution. The role demands strategic thinking, execution rigor, learning agility, and leadership to convert ambiguity into infrastructure capabilities that support compliant innovation, reliability, and performance while raising architectural standards and engineering accountability enterprise-wide. RESPONSIBILITIES Cloud Strategy and Architecture Strategic Architecture: Define cloud architecture principles, target states, and reference patterns across Azure and AWS, translating business priorities into sequenced modernization roadmaps. Apply AI-assisted analysis to compare options, model cost, performance, and risk, and improve decision quality. Own major technical choices, document tradeoffs, and guide teams toward scalable, resilient platforms that support Empower's regulated growth, operational continuity, and rapidly evolving product, data, manufacturing, and customer experience needs across the enterprise. Platform Modernization: Architect the migration of on-premises and data center workloads to cloud-native services, balancing speed, compliance, reliability, and total cost. Use AI-enabled discovery, dependency mapping, and workload assessment to accelerate planning and reduce execution risk. Establish repeatable patterns for landing zones, connectivity, identity, compute, storage, and recovery, ensuring modernization efforts produce measurable business outcomes, stronger engineering velocity, and durable foundations for Empower's expanding 503A and 503B operations. Capacity Intelligence: Design infrastructure capacity, resilience, and performance strategies that anticipate demand rather than react to incidents. Combine observability data with AI-driven forecasting to identify saturation, optimize resource allocation, and automate scaling decisions. Define service objectives, failure thresholds, and recovery patterns for critical platforms, ensuring business growth is supported without compromising availability, security, or quality. Communicate infrastructure constraints and investment needs clearly to technology and business leaders before material risk emerges. Engineering Excellence and Automation Code Standards: Establish and govern Infrastructure-as-Code standards using Terraform, cloud-native tooling, modular patterns, testing, and policy controls. Integrate AI-assisted code generation, review, documentation, and defect detection to improve speed and quality while preserving human accountability. Create reusable modules and golden paths that reduce variation, strengthen traceability, and enable teams to deploy compliant infrastructure consistently across environments. Measure adoption, exceptions, deployment reliability, and cycle-time improvements, then refine standards based on evidence. Operational Automation: Engineer intelligent automation for provisioning, patching, configuration, monitoring, incident response, and routine operational work. Use AI and machine learning to correlate signals, prioritize anomalies, recommend remediation, and reduce mean time to resolution without creating uncontrolled automation risk. Build approval gates, audit trails, rollback mechanisms, and measurable controls so automation improves speed, scale, and service quality. Eliminate recurring toil and redirect engineering capacity toward modernization, reliability, and business-enabling platform capabilities. Technical Leadership: Provide hands-on architectural leadership for complex initiatives, reviewing designs, resolving constraints, and raising engineering quality acros