Manager, Cloud and DevOps Engineering - Archimedes

Navitus Health Solutions, through its subsidiary Archimedes, is focused on transforming the specialty drug benefit industry. The Manager, Cloud and DevOps Engineering will lead the design and implementation of cloud and DevOps capabilities, providing technical and people leadership while ensuring secure and efficient technology platforms.

Responsibilities:

• Lead, mentor, coach, and develop Cloud Engineers and DevOps Engineers
• Manage staffing, workforce planning, recruiting, employee development, performance management, succession planning, and technical career growth across the Cloud and DevOps Engineering organization
• Establish cloud engineering, platform engineering, DevOps, Infrastructure-as-Code, observability, and operational excellence standards across the enterprise
• Define and maintain Azure landing zone architecture, cloud governance frameworks, subscription strategies, management group structures, security baselines, and platform standards
• Lead architecture reviews for cloud infrastructure, networking, DevOps platforms, automation solutions, security controls, data platform infrastructure, and AI platform services
• Serve as the technical owner for Azure cloud architecture, platform engineering, cloud networking, cloud security, Infrastructure-as-Code, and enterprise automation initiatives
• Establish and govern Infrastructure-as-Code standards utilizing Terraform, Bicep, Azure Policy, policy-as-code, and automated platform provisioning frameworks
• Lead cloud modernization, infrastructure transformation, platform consolidation, automation, resiliency, and operational maturity initiatives
• Partner with Data Engineering teams to establish secure, scalable cloud foundations supporting Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, analytics platforms, and AI workloads
• Support cloud infrastructure requirements for machine learning, generative AI, Azure OpenAI, Azure AI Services, Databricks ML, vector databases, intelligent automation platforms, and emerging AI technologies
• Establish DevOps standards supporting CI/CD, GitOps, release automation, environment management, platform automation, and software delivery governance
• Drive adoption of platform engineering principles, self-service infrastructure, reusable cloud services, golden templates, automation frameworks, and developer enablement capabilities
• Lead enterprise observability initiatives utilizing Azure Monitor, Log Analytics, Application Insights, KQL, telemetry platforms, alerting frameworks, and operational dashboards
• Establish reliability engineering practices including SLOs, SLIs, capacity planning, availability management, disaster recovery, business continuity, and operational resilience
• Serve as escalation point for complex cloud infrastructure, networking, platform engineering, DevOps, automation, security, and operational incidents
• Partner with Security and Compliance teams to implement Zero Trust architecture, cloud security controls, identity governance, threat monitoring, vulnerability management, and regulatory compliance requirements
• Lead FinOps initiatives including cloud cost governance, Azure Cost Management, chargeback/showback models, optimization strategies, reserved capacity planning, and resource utilization management
• Evaluate emerging cloud-native technologies, AI platform capabilities, automation solutions, and engineering tools supporting organizational growth and innovation
• Participate in enterprise technology strategy, roadmap development, platform investment decisions, architecture governance, and cloud operating model evolution
• Ensure compliance with HIPAA, HITRUST, SOC 2, NIST, cybersecurity policies, and enterprise governance requirements
• Participate in, adhere to, and support compliance, people and culture, and learning programs
• Perform other duties as assigned

Requirements:

• Bachelor's degree in the field of computer science, information systems, or data science, or equivalent work experience
• 10+ years of experience in Cloud Engineering, DevOps Engineering, Platform Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or related disciplines
• 5+ years of leadership experience managing engineering teams and technical professionals
• Demonstrated experience leading Azure cloud transformation, infrastructure modernization, platform engineering, DevOps, and automation initiatives
• Deep expertise with Azure architecture, networking, cloud security, Infrastructure-as-Code, governance, and operational excellence
• Advanced experience with Terraform, Bicep, Azure DevOps, GitHub Actions, Kubernetes (AKS), and enterprise automation frameworks
• Experience implementing cloud governance, FinOps, observability, reliability engineering, disaster recovery, and operational resilience programs
• Experience leading cloud architecture reviews, mentoring engineers, establishing engineering standards, and driving organizational transformation
• Skills and Technologies: Cloud Platforms: Azure, Azure Landing Zones, Azure Resource Manager, Azure Networking, Azure Security
• Infrastructure as Code: Terraform, Bicep, ARM Templates, Azure Policy, Policy-as-Code
• DevOps & Platform Engineering: Azure DevOps, GitHub Actions, GitOps, CI/CD, Release Automation
• Containers & Kubernetes: AKS, Docker, Helm, Azure Container Registry
• Data Platform Infrastructure: Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, Private Endpoints, Managed Identities
• AI Platform Infrastructure: Azure Machine Learning, Azure OpenAI, Azure AI Services, Databricks ML, MLflow, Vector Databases
• Observability & Reliability: Azure Monitor, Log Analytics, Application Insights, KQL, SRE Practices, SLOs/SLIs
• Security & Identity: Microsoft Entra ID, RBAC, PIM, Conditional Access, Key Vault, Defender for Cloud
• Networking: VNets, NSGs, UDRs, Azure Firewall, ExpressRoute, VPN Gateway, Application Gateway, Front Door, Private Link
• Governance & FinOps: Azure Policy, Management Groups, Cost Management, Budgeting, FinOps, Cloud Governance
• Experience supporting Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, analytics platforms, and AI-related cloud infrastructure
• Experience supporting machine learning, Azure Machine Learning, Azure OpenAI, Databricks ML, MLOps, and AI platform services
• Experience working within HIPAA, HITRUST, SOC 2, NIST, or similar regulated environments