AWS Storage Engineer (S3)

Veriipro; Irving (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Veriipro in Irving, TX seeks an experienced AWS Storage Engineer (S3) to design, implement, and optimize enterprise cloud storage solutions on AWS. You will build data lake architectures, manage S3 buckets, and implement IaC with Terraform while scripting in Python to automate tasks and monitor costs.

The role requires strong expertise in S3, IAM, encryption, governance, and collaboration with DevOps teams to integrate storage into CI/CD pipelines and production environments.

Qualifications

• 6–10 years of experience in cloud infrastructure or storage engineering.
• Strong hands-on experience with Amazon S3 and object storage.
• Experience with data lake architectures and enterprise analytics workloads.
• Practical knowledge of AWS services, networking, security, IAM, encryption, and governance.
• Proficiency in Terraform and Infrastructure as Code practices.
• Strong Python scripting and automation skills.

Responsibilities

• Design, deploy, and manage scalable cloud storage solutions using Amazon S3 and related AWS services.
• Build and maintain data lake architectures and object storage solutions for enterprise applications and analytics workloads.
• Configure and optimize S3 buckets, storage classes, lifecycle policies, versioning, replication, encryption, and access controls.

Skills

Cloud infrastructure

Amazon S3

Data lake architectures

AWS services

Terraform

Python scripting

Security and IAM

Cost optimization

Tools

Terraform

Hadoop

HDFS

Apache Spark

Databricks

Python

Job description

We are seeking an experienced AWS Storage Engineer (S3) to design, implement, manage, and optimize enterprise-scale cloud storage solutions on Amazon Web Services (AWS). The ideal candidate will have strong expertise in Amazon S3, object storage, data lake architectures, and big data technologies, along with hands-on experience in Infrastructure as Code (IaC), automation, and cloud infrastructure management.

Key Responsibilities

• Design, deploy, and manage scalable cloud storage solutions using Amazon S3 and related AWS services.
• Build and maintain data lake architectures and object storage solutions for enterprise applications and analytics workloads.
• Configure and optimize S3 buckets, storage classes, lifecycle policies, versioning, replication, encryption, and access controls.
• Support big data platforms and data processing frameworks, including Hadoop, HDFS, Apache Spark, and Databricks.
• Develop and maintain Infrastructure as Code using Terraform to automate cloud infrastructure provisioning and configuration.
• Create Python-based scripts and automation tools to streamline operational tasks, monitoring, reporting, and troubleshooting.
• Implement and maintain cloud security best practices, including IAM policies, encryption, network security, and data governance.
• Collaborate with DevOps teams to integrate infrastructure provisioning and deployment workflows into CI/CD pipelines.
• Monitor storage performance, availability, utilization, and costs, and implement optimization strategies.
• Troubleshoot complex storage, access, connectivity, and data processing issues in production environments.
• Ensure compliance with enterprise security standards, data protection policies, and cloud governance requirements.
• Contribute to the continuous improvement of cloud storage architecture, operational processes, and automation frameworks.

Required Skills and Qualifications

• 6–10 years of experience in cloud infrastructure, storage engineering, or related engineering roles.
• Strong hands-on experience with Amazon S3, object storage, and AWS data lake architectures.
• Practical knowledge of AWS services, cloud networking, security, IAM, encryption, and governance.
• Experience with big data technologies such as Hadoop, HDFS, Apache Spark, and Databricks.
• Proficiency in Terraform and Infrastructure as Code practices.
• Strong Python scripting and automation skills.
• Experience designing, deploying, and supporting scalable enterprise cloud infrastructure.
• Knowledge of storage monitoring, troubleshooting, performance optimization, and cost management.
• Ability to collaborate with cross-functional teams and support production-grade cloud environments.