Job Description:Position Summary
The Vice President of Cloud and Infrastructure Engineering is the senior leader responsible for the strategy, architecture, engineering, operations, reliability, and continuous improvement of AssetMark's cloud and infrastructure platforms.
This role owns the technology foundation that enables the business, including Azure Cloud, DevOps and platform engineering, Infrastructure as Code, databases, data platforms, enterprise networking, office connectivity, wireless, firewalls, SD-WAN, load balancing, F5, and Azure networking services.
The VP will also own the infrastructure foundation required to support AssetMark's AI strategy. This includes establishing the compute, data, networking, security, automation, governance, and operational capabilities needed to responsibly develop, deploy, and support AI-enabled solutions at scale.
This is a senior technical leadership position requiring strong executive presence, broad infrastructure experience, and sufficient technical depth to challenge designs, guide complex decisions, lead through major incidents, establish an engineering roadmap, and create measurable organizational change.
We can only consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office.
Primary Responsibilities
- Cloud and Infrastructure Strategy: Define and execute a multi-year Cloud and Infrastructure Engineering strategy. Establish target-state architecture, platform standards, service ownership, production-readiness expectations, and a prioritized roadmap that balances reliability, modernization, security, automation, cost, AI adoption, and business growth.
- Leadership and Team Development: Lead and develop a high-performing organization of technical leaders, cloud engineers, DevOps engineers, database professionals, network engineers, architects, and platform specialists. Establish clear accountability, career paths, technical standards, operating procedures, and succession plans.
- Azure Cloud Platform: Own the design, operation, and continuous improvement of the Azure environment. Establish standards for landing zones, subscriptions, management groups, resource organization, naming, tagging, policies, access controls, compute, storage, networking, backup, monitoring, and resiliency.
- Azure Networking and Platform Services: Define standards for Azure Virtual Networks, private endpoints, Private Link, VPN, ExpressRoute, Azure Firewall, Web Application Firewall, Application Gateway, Load Balancer, Front Door, DNS, and related services. Ensure cloud platforms are secure, scalable, highly available, recoverable, and operationally supportable.
- DevOps and Platform Engineering: Lead the evolution of DevOps and platform engineering capabilities across technology teams. Establish source-control, CI/CD, artifact-management, release-automation, environment-promotion, platform-API, and self-service standards that improve developer experience while maintaining appropriate governance and controls.
- Infrastructure as Code and Terraform: Make Infrastructure as Code the standard for provisioning and managing cloud and infrastructure services. Lead the adoption and governance of Terraform, including reusable modules, remote state, versioning, testing, code review, secrets management, drift detection, policy enforcement, and automated change promotion.
- Database and Data Platform Engineering: Own the operational strategy and engineering standards for SQL Server, PostgreSQL, Snowflake, and related data platforms. Establish standards for architecture, performance, capacity, high availability, backup, recovery, patching, upgrades, monitoring, security, and lifecycle management. Partner with Data Engineering and Analytics teams to support reliable data services.
- Network and Connectivity Engineering: Own the strategy and architecture for enterprise network services across offices, data centers, cloud environments, and remote users. Lead wired and wireless networks, firewalls, SD-WAN, VPN, WAN connectivity, DNS, IP address management, load balancers, F5, and Azure network services.
- AI-Ready Infrastructure and Emerging Technology: Define the infrastructure strategy required to support enterprise AI adoption. Establish secure and scalable patterns for AI workloads across Azure, Snowflake, and other approved platforms, including compute, storage, networking, data access, APIs, GPU-enabled workloads, monitoring, capacity, security, and cost management. Evaluate emerging technologies and move practical capabilities from experimentation into production-ready services.
- Security by Design: Embed security requirements into cloud, network, database, DevOps, AI, and infrastructure engineering practices. Partner with Cybersecurity and Identity and Access Management on Zero Trust, privileged access, vulnerability management, network segmentation, secrets management, identity-based controls, data protection, and secure third-party connectivity.
- Reliability, Operations and Resilience: Establish an operational model for cloud and infrastructure platforms that includes observability, capacity planning, incident and problem management, change governance, disaster recovery, business continuity, backup, recovery testing, and service-level objectives. Partner with Service Resilience to improve end-to-end service health and reliability.
- Automation and Continuous Improvement: Use PowerShell, Python, APIs, Terraform, Bicep, CI/CD, policy-as-code, and workflow automation to reduce manual work, configuration inconsistency, operational risk, and infrastructure-related tickets. Automate platform onboarding, environment management, compliance evidence, cost controls, and AI infrastructure patterns where practical.
- Financial and Vendor Management: Own infrastructure financial planning, forecasting, FinOps, consumption management, and cost optimization across Azure, Snowflake, AI workloads, networking, licensing, and vendors. Manage strategic relationships, contracts, renewals, service performance, and commercial negotiations.
- Cross-Functional Delivery: Partner with Service Resilience, Identity and Access Management, Cybersecurity, Applications, Data, Enterprise Architecture, Finance, Procurement, and business leaders to translate requirements into secure, scalable, resilient, automated, and adopted platform services.
Organizational Scope
- The VP will lead through senior managers, technical leads, and engineering teams across the following capability areas:
- Cloud and Platform Engineering: Azure platform services, landing zones, subscriptions, compute, storage, cloud operations, and platform standards.
- DevOps and Developer Enablement: CI/CD, developer platforms, release automation, platform APIs, self-service, and engineering standards.
- Infrastructure Automation: Terraform, Infrastructure as Code, policy-as-code, configuration management, automation, and platform lifecycle management.
- Database and Data Platform Engineering: SQL Server, PostgreSQL, Snowflake, database operations, data platform reliability, and platform security.
- Network and Connectivity Engineering: Office, wireless, WAN, SD-WAN, firewalls, F5, load balancing, remote access, and Azure networking.
- AI Platform Enablement: Infrastructure patterns, operational readiness, security, governance, capacity, and cost controls for AI workloads.
Required Qualifications
- Experience: Typically 15 or more years of progressive experience across cloud, infrastructure, engineering, operations, or technology platforms, with significant experience leading enterprise technology functions.
- Leadership: Significant experience leading global technical teams, developing managers and engineers, building new capabilities, and directing delivery through a strategic roadmap.
- Azure: Demonstrated ownership of enterprise Azure environments, cloud transformation initiatives, platform engineering, cloud governance, and production operations.
- Terraform and Infrastructure as Code: Deep experience with Terraform and Infrastructure as Code at enterprise scale, including modules, state management, CI/CD integration, testing, policy enforcement, drift detection, and operational governance.
- DevOps and Platform Engineering: Broad experience across DevOps, CI/CD, platform engineering, automation, developer enablement, observability, and production operations.
- Networking: Strong technical understanding of enterprise networking, including firewalls, SD-WAN, wireless, WAN, load balancers, F5, DNS, VPN, and Azure networking.
- Databases and Data Platforms: Experience leading database and data platform operations involving SQL Server, PostgreSQL, Snowflake, or comparable technologies.
- AI Enablement: Experience enabling AI, machine learning, analytics, or advanced data workloads in Azure or another major cloud platform, with an understanding of the related compute, data, security, and operational requirements.
- Security and Resilience: Strong understanding of cloud security, network security, identity integration, vulnerability management, disaster recovery, business continuity, and compliance controls.
- Executive Presence: Excellent executive communication, stakeholder management, presentation, analytical, and problem-solving skills, with the ability to move between strategy, business impact, and technical detail.
Preferred Qualifications
- Cloud-Native Engineering: Experience with Azure landing zones, Kubernetes, AKS, microservices, APIs, event-driven systems, containers, and cloud-native architecture.
- Platform Tooling: Experience with Azure DevOps, GitHub Actions, GitOps, policy-as-code, platform APIs, internal developer platforms, and automated production readiness.
- AI Platform Technologies: Experience with Azure AI services, Azure OpenAI, Snowflake AI/ML capabilities, vector search, semantic search, MLOps, LLMOps, or comparable technologies.
- Financial Management: Experience with FinOps, cloud consumption management, Snowflake cost optimization, vendor strategy, and infrastructure financial planning.
- Industry: Experience within financial services or another highly regulated enterprise environment, including audit, regulatory examination, and remediation activities.
- Certifications: Relevant certifications such as Azure Solutions Architect Expert, Azure Network Engineer Associate, Terraform Associate, CISSP, CCSP, or comparable credentials.
Leadership and Accountability Model
The VP serves as the enterprise service owner and engineering authority for cloud, infrastructure, network, database, platform engineering, Infrastructure as Code, and AI platform-enablement capabilities. The role establishes the strategy, standards, controls, roadmaps, and technical operating model. Application and data owners retain accountability for their products and services, while Service Resilience, IAM, and Cybersecurity provide complementary reliability, identity, and security leadership.
What Success Looks Like
The successful VP will build a modern, secure, scalable, and measurable technology foundation for AssetMark. Azure platforms will have clear ownership, consistent architecture, appropriate governance, strong operational support, and reliable recovery capabilities. Terraform and Infrastructure as Code will become the standard for new platform delivery, reducing manual change, configuration drift, and operational risk.
DevOps and platform engineering practices will improve developer experience, deployment quality, automation, and production ownership. Network and database services will be resilient, observable, performant, and cost-conscious. The organization will have a practical AI-ready foundation with reusable patterns, defined guardrails, and the compute, data, security, and operational capabilities needed to move AI initiatives into production responsibly.
The VP will establish strong technical leadership, measurable service levels, meaningful executive reporting, and a forward-looking roadmap. Infrastructure investments will be tied to business outcomes, risk reduction, reliability, productivity, cost efficiency, and innovation.
Compensation: The Base Salary range for this position is between $240,000-$260,
