Staff Cloud Engineer Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description We are seeking a highly experienced Staff Cloud Engineer to support enterprise-scale application migrations to the cloud with a primary focus on AWS.
This role focuses on hands-on engineering execution of migration patterns, platform components, and automation frameworks, with a strong emphasis on containerization and modern deployment models to enable scalable, repeatable migrations from on-premises environments to AWS.
You will partner with platform engineering, security, and external vendors to build, deploy, and operate cloud-native infrastructure and application platforms, with a focus on container-first deployment patterns and Kubernetes-based architectures.
Essential Duties and Responsibilities:
Implement and execute standardized migration patterns to AWS, including rehost, replatform, redeploy, refactor.
Design and operate an application migration factory focused on: Automation pipelines
Runbooks and deployment frameworks
Cutover orchestration and execution
Build and implement tooling and automation frameworks to support high-scale migrations.
Drive adoption of container-first strategies, including VM-to-container migration and Kubernetes (EKS) deployments.
Define and implement technical deployment models, including: VM rehosting and replatforming patterns
Containerized application deployment models
Kubernetes-based microservices architectures
Configure and deploy AWS infrastructure and platform services, including: Compute, storage, and networking services such as VPCs, load balancers, and DNS
Databases and middleware platforms
Container platforms, container registries, and runtime environments, including EKS
Build and support CI/CD pipelines for infrastructure automation and containerized application deployment.
Develop Infrastructure as Code (Terraform) modules and reusable deployment templates.
Integrate automation and scripting using Python and Bash to streamline provisioning, deployment, and operational workflows.
Coordinate with AWS specialists and partners to accelerate migration execution.
Execute data migration, cutover, validation, and post-migration stabilization activities.
Ensure implementations meet security, compliance, reliability, and cost optimization requirements.
Align implementations with enterprise guardrails, including IaC, policy-as-code, and standardized pipelines
Qualifications Required:
Bachelor's degree in Computer Science, Engineering, or related field
10–15+ years of total experience, including 7+ years in cloud engineering or migration roles
Deep hands-on expertise in AWS architecture and services (core requirement)
Proven experience with large-scale application migrations to AWS
Hands-on experience with GitHub and GitHub Actions, including building CI/CD pipelines for cloud and hybrid environments
Experience managing self-hosted CI/CD runners (GitHub Actions or similar) in both on-premises and cloud environments
Deep understanding of IAM, cross-account access, and identity federation (AWS IAM Identity Center, SSO)
Experience with observability and monitoring tools (CloudWatch, logging, metrics, tracing) to support migration validation and post-migration troubleshooting
Hands-on experience with database and data migration strategies (replication, backup/restore, minimal downtime cutover)
Experience working within enterprise cloud landing zones and guardrails (SCPs, account structure, security controls)
Strong troubleshooting skills in hybrid networking, including routing, DNS resolution, and connectivity between on-premises and cloud environments
Experience designing and managing multi-environment deployments (dev, test, prod) with proper isolation and promotion workflows
Experience working with enterprise artifact repositories (e.g., JFrog Artifactory) for dependency management, build artifacts, and secure package distribution
Experience working with cross-functional teams, vendors, and cloud providers
Strong documentation and stakeholder communication skills
Preferred:
Understanding of cloud cost optimization and FinOps practices, including tagging strategies and cost visibility during migration
Experience with migration tooling, such as AWS Application Migration Service, DMS, or equivalent tools
Experience with GitOps deployment models, such as ArgoCD, and environment-based deployment strategies
AWS certifications, such as Solutions Architect, DevOps Engineer, or Kubernetes-related certifications
Experience working in large-scale transformation programs or Agile delivery models