Jobs · Information Technology · Texas

Storage Cloud Engineer (AWS, Azure, GCP)

NTT DATA North America · Irving, TX · Today
HybridInformation Technology$30/hrOther

Job Description

Design and implement standardized cloud storage architectures across public cloud platforms (AWS, Azure, GCP)

Develop and enforce governance, security, and compliance controls for cloud storage services

Support application onboarding, ensuring alignment with storage standards and best practices

Engineer and manage cloud-native storage patterns, including: Object storage (S3, Blob, GCS) File services (managed NFS/SMB) Block storage for cloud workloads

Optimize cost, performance, and scalability of cloud storage solutions

Build and maintain Infrastructure-as-Code (IaC) templates (Terraform) for consistent deployments

Automate provisioning and lifecycle management of storage resources

Partner with DevOps and platform teams to integrate storage into CI/CD pipelines

Monitor usage and enforce cost management and optimization strategies

Drive standardization and continuous improvement across cloud storage services

About the Role

Join our team in Irving, Texas (US-TX), United States (US)

Requirements

Experience with AWS, Azure, and/or Google Cloud Platform (GCP)

Strong understanding of cloud storage concepts and technologies

Proficiency in scripting languages such as Bash, Python, or PowerShell

Experience with Infrastructure-as-Code (IaC) tools like Terraform

Excellent problem-solving and analytical skills

Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field

Minimum 3 years of relevant experience in cloud storage engineering or a similar field

Skills

Cloud Storage Architecture

Cloud Governance and Compliance

Cloud Native Storage Patterns

Terraform and IaC

CI/CD Pipelines

Cost Management and Optimization

Benefits

Flexible working arrangements

Professional development opportunities

Competitive compensation package

Health and wellness programs

Employee recognition and rewards

Pay

Negotiable based on experience and qualifications

Schedule

Full-time position

Hybrid remote/flexibility options available

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