Director, Cloud Engineering

Company Description

The Director of Cloud Engineering is responsible for leading the strategy, architecture, and delivery of enterprise-wide cloud and hybrid infrastructure platforms, with a strong focus on automation, security, and scalability. This role is critical to accelerating both cloud adoption and hybrid integration by leveraging Infrastructure as Code (IaC), enabling DevSecOps practices, and engineering resilient, secure infrastructure across cloud and on-prem environments. The ideal candidate brings deep cloud and hybrid infrastructure expertise, strong leadership experience, and a proven track record of delivering reliable, performant, and cost-efficient platforms at scale. The Director will oversee a team of engineers and automation specialists, driving operational excellence, innovation, and alignment with enterprise architecture, governance, and compliance. This role plays a pivotal part in enabling modern application delivery and infrastructure capabilities that support evolving business needs

Job Description

• Drives the cloud engineering roadmap and strategy, ensuring delivery aligns with architectural standards, business needs, and future-state platform vision.
• Leads automation and platform engineering efforts, implementing Infrastructure as Code and DevSecOps practices using modern tooling and frameworks.
• Oversees cloud and hybrid platforms (Azure, AWS, On-Prem data Centers) and partners with engineering and operations to build secure, reliable, scalable, and observable systems.
• Partners with Enterprise Architecture to define standards and implement reusable reference patterns for cloud and infrastructure platforms.
• Provides thought leadership on cost optimization, security posture, and architecture modernization.
• Collaborates across business, infrastructure, and development teams to accelerate adoption of modern services and deliver business value.
• Collaborate closely with change management processes to ensure all team changes are governed, communicated, and implemented with minimal disruption.
  
   
• Owns and evolves the cloud engineering function, including cloud platform architecture, IaC module development, and deployment automation.
• Directs automation strategy leveraging Terraform, Terragrunt, GitHub Actions, Argo CD, Harness, and scripting (PowerShell, Python, YAML) to accelerate delivery.
• Oversees design and implementation of DevSecOps toolchains and CI/CD frameworks supporting infrastructure and application deployments.
• Enables cloud-native adoption, including container platforms (AKS, EKS), serverless architectures, and PaaS solutions, with a focus on performance and cost optimization.
• Supports enterprise-wide AI/ML platform enablement, collaborating with data and platform teams on MLOps tools and infrastructure deployment strategies.
• Provides guidance to engineering teams to ensure secure, highly available, and compliant cloud environments.
• Supports hybrid infrastructure strategy by integrating on-prem technologies (e.g., Nutanix, VMware, physical compute) with cloud-native platforms for seamless workload mobility and unified management.
• Oversees the lifecycle of on-prem storage platforms, ensuring alignment with performance, scalability, and business continuity requirements.
• Partners with data center and platform operations teams to define transition paths from traditional infrastructure to cloud-enabled services.
• Evaluates and integrates monitoring and observability tools to improve service availability, detect incidents early, and drive operational efficiency.
• Partners with architecture and security teams to define and enforce policies for cloud governance, resilience, and risk management.
• Supports the implementation of disaster recovery solutions and proactive incident response procedures.
• Mentors cloud engineering talent and builds a culture of excellence, collaboration, and continuous improvement.

Qualifications

• Strong experience with Azure and AWS cloud platforms, including architecture, networking, IAM, security, and automation.
• Deep understanding of Infrastructure as Code tools (Terraform, Terragrunt), container orchestration (AKS, EKS), and CI/CD frameworks (GitHub Actions, Argo CD, Harness).
• Solid scripting experience in PowerShell, Python, YAML, or similar languages.
• Proven track record in building and supporting enterprise-grade cloud platforms with an emphasis on automation, security, and resiliency.
• Working knowledge of AI/ML infrastructure, including model lifecycle management and MLOps pipelines.
• Familiarity with modern monitoring and observability stacks (Grafana, ELK, Datadog, App Insights).
• Familiarity with hyperconverged infrastructure platforms such as Nutanix, including cluster management, VM provisioning, and storage configuration.
• Working knowledge of enterprise storage solutions and their integration with hybrid cloud workloads.
• Experience with hybrid networking, site-to-site VPNs, and connectivity between on-prem and cloud environments (e.g., ExpressRoute, Direct Connect).
• Understanding of data replication, backup strategies, and DR models across both on-prem and cloud landscapes.
• Knowledge of ITSM tools (e.g., ServiceNow), cloud cost management, and compliance automation.
• Strong analytical thinking, problem solving, and decision-making skills.
• Ability to translate business needs into scalable, secure, and cost-effective technology strategies.
• 10+ years of experience in infrastructure/cloud engineering roles with at least 5 years in leadership or director-level positions.
• Excellent written and verbal communication skills; able to present technical topics to both technical and non-technical audiences.
• Strong customer and user experience orientation with a collaborative and consultative leadership style.
• Experience in regulated industries (e.g., financial services, insurance) is a plus.
• Background in disaster recovery planning, blue/green deployments, and canary release models.
• Experience working with hybrid and offshore delivery teams.

Additional Information

Bachelor’s or Master’s degree in computer science, Engineering, Information Systems, or related field, or equivalent experience.