Sr Cloud Infrastructure Engineer - Data

$131,040 - $160,160/Yr

Pacific Life - Newport Beach, CA

Full-time - Senior

Remote - Newport Beach, CA

Insurance Carriers and Related Activities

About the position

The Senior Cloud Infrastructure Engineer - Data at Pacific Life is responsible for designing, implementing, and optimizing cloud infrastructure that supports the organization's data, analytics, and AI platforms. This role involves ensuring seamless integration and scaling of cloud services to meet the demands of data-driven applications, analytics pipelines, and AI/ML workloads. The engineer will collaborate with data teams, DevOps, and AI specialists to build robust, secure, and high-performance environments that enable advanced data processing and machine learning capabilities.

Responsibilities

• Design, deploy, and manage scalable, high-performance cloud infrastructure for data and analytics platforms using AWS.
• Ensure the cloud infrastructure supports large-scale data pipelines, analytics workloads, and real-time data processing for platforms like Snowflake, Matillion, and dbt.
• Design and manage cloud environments for AI/ML models, ensuring optimal compute, storage, and networking configurations.
• Continuously optimize cloud resources for performance and cost efficiency, implementing autoscaling and monitoring strategies.
• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools like Terraform and CloudFormation.
• Implement best practices for cloud security, including data encryption and identity and access management (IAM).
• Set up and maintain monitoring systems for cloud infrastructure, ensuring high availability and quick incident response.
• Collaborate with data engineers, data scientists, and delivery leads to support evolving needs for data pipelines and analytics workloads.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field.
• 7+ years of experience in designing, deploying, and managing cloud infrastructure for data and analytics platforms, with expertise in AWS, Azure, or Google Cloud.
• Experience managing infrastructure for AI and machine learning workloads, including deep learning frameworks.
• Proficiency in automation tools such as Terraform, CloudFormation, or Ansible for infrastructure provisioning.
• Knowledge of cloud security best practices, including identity management and data encryption.
• Experience with monitoring tools and techniques for optimizing performance and troubleshooting cloud infrastructure.

Nice-to-haves

• Cloud certifications such as AWS Certified Solutions Architect or Google Professional Cloud Architect.
• Knowledge of hybrid cloud environments integrating on-premises infrastructure with cloud services.
• Hands-on experience with managing cloud-based data platforms like Snowflake, Databricks, or Google BigQuery.
• Experience with big data and real-time streaming technologies like Apache Kafka, Spark, or Flink.

Benefits

• Medical, Dental, Vision insurance coverage.
• Wellbeing Reimbursement Account for eligible dependents.
• Generous paid time off options including Paid Time Off and Holiday Schedules.
• Paid Parental Leave and Adoption Assistance Program.
• Competitive 401k savings plan with company match and additional contributions.