Sr Cloud Infrastructure Engineer - Data

$131,040 - $160,160/Yr

Pacific Life - Lynchburg, VA

Full-time - Senior

Remote - Lynchburg, VA

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 various teams 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, dbt, and other data lakes and warehouses.
• Design and manage cloud environments for AI/ML models, including platforms such as Amazon SageMaker, Azure Machine Learning, or Google AI Platform.
• Continuously optimize cloud resources for performance and cost efficiency, implementing autoscaling, monitoring, and tuning strategies.
• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools like Terraform and CloudFormation.
• Implement best practices for cloud security, including data encryption, identity and access management (IAM), and network security.
• Set up and maintain monitoring systems for cloud infrastructure, ensuring high availability and quick incident response.
• Work closely with data engineers, data scientists, and delivery leads to ensure the cloud infrastructure supports evolving needs.

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 deep expertise in AWS, Azure, or Google Cloud.
• Experience managing infrastructure for AI and machine learning workloads, including deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in automation tools such as Terraform, CloudFormation, or Ansible for infrastructure provisioning and configuration management.
• Knowledge of cloud security best practices, including identity management, data encryption, and regulatory compliance (e.g., GDPR, CCPA, HIPAA).
• Experience with monitoring tools and techniques for optimizing performance, handling incidents, and troubleshooting cloud infrastructure.

Nice-to-haves

• Cloud certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, or Azure Solutions Architect Expert.
• Knowledge of hybrid cloud environments, integrating on-premises infrastructure with cloud-based 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 starting Day 1.
• Wellbeing Reimbursement Account for eligible dependents.
• Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off.
• Paid Parental Leave and Adoption Assistance Program.
• Competitive 401k savings plan with company match and additional contributions.