Manager, Cloud and DevOps Engineering - Archimedes

Overview

The Manager, Cloud and DevOps Engineering is responsible for leading the design, implementation, operation, security, automation, and continuous improvement of the organization's cloud, platform, infrastructure, DevOps, observability, and platform engineering capabilities.

Operating within an Azure-first, Databricks-centric environment, this role provides technical and people leadership for cloud infrastructure, networking, DevOps, Infrastructure-as-Code (IaC), platform engineering, cloud security, observability, reliability engineering, FinOps, and enterprise platform operations supporting business applications, data platforms, analytics, artificial intelligence (AI), machine learning (ML), automation, and enterprise technology services.

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.
• 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.

Qualifications

• Education: Bachelor’s degree in the field of computer science, information systems, or data science, or equivalent work experience, required.
• Experience: 10+ years of experience in Cloud Engineering, DevOps Engineering, Platform Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or related disciplines required. 5+ years of leadership experience managing engineering teams and technical professionals required.
• Deep expertise with Azure architecture, networking, cloud security, Infrastructure-as-Code, governance, and operational excellence required.
• Advanced experience with Terraform, Bicep, Azure DevOps, GitHub Actions, Kubernetes (AKS), and enterprise automation frameworks required.
• Experience implementing cloud governance, FinOps, observability, reliability engineering, disaster recovery, and operational resilience programs required.
• Experience working within HIPAA, HITRUST, SOC 2, NIST, or similar regulated environments preferred.
• Experience leading cloud architecture reviews, mentoring engineers, establishing engineering standards, and driving organizational transformation required.