Senior Cloud Architect

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    "description": "<p><span style=\"font-weight: bold\">Job Summary</span></p>\n<p>We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives.</p>\n<p> </p>\n<p>Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible.</p>\n<p><br></p>\n<p>The <span style=\"font-weight: bold\">Senior Cloud Architect</span> for Stellus Rx will be a key member of our <span style=\"font-weight: bold\">Technology Team</span>, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate.</p>\n<p>This role is designed for a cloud architect who actively uses AI to design more resilient, cost-efficient, and intelligent cloud environments — replacing manual architectural analysis with AI-augmented decision-making and embedding AI capabilities directly into the cloud infrastructure that powers Stellus Rx.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Role and Responsibilities:</span></p>\n<p><span style=\"font-weight: bold\">AI-Informed Cloud Architecture Design</span></p>\n<ul>\n<li>Define and maintain the enterprise cloud architecture strategy across AWS environments — with deliberate design for AI/ML workloads, including compute, networking, storage, and security patterns optimized for model training and inference at scale.</li>\n<li>Use AI-assisted modeling and diagramming tools to accelerate architectural design, evaluate trade-offs across cost, complexity, performance, and resilience, and validate decisions against business requirements before implementation.</li>\n<li>Evaluate and adopt emerging cloud services and AI-native AWS capabilities (e.g., Amazon Bedrock, SageMaker, Rekognition) to continuously improve the organization's cloud capability and competitive positioning.</li>\n<li>Develop and maintain cloud architecture standards, reference architectures, and design patterns — using AI tools to generate, review, and keep documentation current with minimal manual overhead.</li>\n<li>Conduct architectural reviews and proof-of-concept efforts using AI-assisted analysis to validate new approaches before committing engineering resources.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">AI-Augmented Infrastructure as Code &amp; Automation</span></p>\n<ul>\n<li>Define IaC standards and govern their adoption across engineering teams; use AI code generation tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate Terraform and CloudFormation authoring, validate configurations, and identify misconfigurations before deployment.</li>\n<li>Design and oversee CI/CD pipeline architecture for cloud infrastructure delivery; use AI to optimize pipeline performance, detect drift, and recommend improvements continuously.</li>\n<li>Champion \"everything as code\" across cloud operations — using AI to automate routine infrastructure tasks, self-healing workflows, and policy enforcement rather than relying on manual intervention.</li>\n<li>Partner with CloudOps and DevOps engineers to translate architectural blueprints into production-ready infrastructure, providing hands-on guidance and AI-augmented design reviews.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Cloud Security &amp; Compliance Architecture</span></p>\n<ul>\n<li>Design and enforce cloud security architecture aligned with OWASP principles, HIPAA, SOC 2, and NIST frameworks — using AI-enhanced security tooling to continuously monitor for misconfigurations, policy drift, and emerging vulnerabilities rather than relying on point-in-time audits.</li>\n<li>Define identity and access management (IAM) architecture including federation, RBAC, and zero-trust network design; use AI to model access patterns and detect anomalous behavior across the environment.</li>\n<li>Oversee cloud compliance auditing and reporting; use AI-assisted evidence generation to reduce manual audit preparation overhead and accelerate certification cycles.</li>\n<li>Coordinate with the Security Engineering team to ensure security controls are embedded into cloud architecture from the design stage, not bolted on after delivery.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Cost Optimization &amp; FinOps Architecture</span></p>\n<ul>\n<li>Design cloud environments with cost efficiency as a first-class architectural concern; use AI-driven cost analysis and anomaly detection tools to continuously surface waste, right-size resources, and model optimization scenarios across the portfolio.</li>\n<li>Establish FinOps practices and governance frameworks that give engineering teams visibility into cloud spend and clear guardrails for cost-conscious architecture decisions.</li>\n<li>Use AI to model the cost implications of architectural decisions before deployment — replacing manual estimation with data-driven forecasting.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Reliability, Scalability &amp; Performance</span></p>\n<ul>\n<li>Design cloud architectures for high availability, fault tolerance, and disaster recovery — applying AWS Well-Architected Framework principles and using AI-assisted analysis to validate resilience assumptions and identify single points of failure.</li>\n<li>Define performance baselines and SLAs; use AI-powered observability platforms to continuously monitor adherence and proactively surface degradation before it impacts users.</li>\n<li>Architect for scalability across compute, storage, and networking layers; use AI to model traffic patterns, predict capacity needs, and inform auto-scaling strategies.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Collaboration &amp; Technical Leadership</span></p>\n<ul>\n<li>Partner with Solutions Architects, Data Architects, Security Engineers, and Engineering teams to ensure cloud architecture decisions support the full technology stack coherently.</li>\n<li>Mentor CloudOps Engineers and developers in cloud architecture best practices and AI-augmented infrastructure workflows.</li>\n<li>Communicate architectural decisions, trade-offs, and roadmap recommendations clearly to both technical teams and executive leadership.</li>\n<li>Stay current on cloud technology trends, AI/ML infrastructure patterns, and industry best practices; provide timely recommendations on adoption and implementation approach.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Qualifications and Requirements:</span></p>\n<ul>\n<li>7+ years of experience in cloud architecture, cloud engineering, or a closely related field.</li>\n<li>3+ years of hands-on AWS architecture experience at enterprise scale; familiarity with Azure or GCP a plus.</li>\n<li>Required: Demonstrated, hands-on experience using AI tools to accelerate cloud architecture design, automate infrastructure management, or enable AI/ML workloads in the cloud — with specific examples you can speak to.</li>\n<li>Deep expertise in AWS services: EC2, Lambda, ECS/EKS, S3, RDS, Redshift, API Gateway, SQS, SNS, Kinesis, CloudFormation, and related services.</li>\n<li>Strong knowledge of IaC tooling; Terraform strongly preferred.</li>\n<li>Proficiency in at least one scripting language: Python, Bash, or PowerShell.</li>\n<li>Solid understanding of containerization and orchestration: Docker, Kubernetes, Amazon ECS/EKS.</li>\n<li>Strong knowledge of cloud security principles, IAM architecture, and zero-trust networking.</li>\n<li>Familiarity with healthcare compliance frameworks: HIPAA, SOC 2, NIST CSF.</li>\n</ul>\n<ul>\n<li>Experience with CI/CD pipeline architecture and DevOps practices.</li>\n<li>Excellent communication skills with the ability to convey complex architectural concepts to technical and non-technical audiences.</li>\n<li>Bachelor's or advanced degree in Computer Science, Information Systems, or a related field.</li>\n<li>High English proficiency, written and verbal.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Preferred Experience:</span></p>\n<ul>\n<li>Hands-on experience architecting cloud infrastructure for AI/ML workloads, including GPU compute, model serving, and inference optimization.</li>\n<li>Experience with AI-native AWS services: Amazon Bedrock, SageMaker, Rekognition, or Comprehend Medical.</li>\n<li>Experience with AIOps and AI-powered cloud observability platforms (e.g., AWS DevOps Guru, Dynatrace, Datadog AI).</li>\n<li>Experience with FinOps practices and AI-driven cloud cost optimization tooling.</li>\n<li>Relevant certifications: AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer, or equivalent.</li>\n<li>Healthcare industry experience; familiarity with FHIR/HL7 data standards a plus.</li>\n<li>Bilingual — Spanish and English.</li>\n<li>MBA or advanced degree.</li>\n</ul>\n<p><br></p>",
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