Cloud Infrastructure Engineer

2 days ago

Newport Beach, United States Pacific Life Full time
Job Description:

Pacific Life is seeking a talented Senior Cloud Infrastructure Engineer - Data to join our Enterprise data team in Newport Beach, CA. This role can be on-site, hybrid or 100% remote.

The Senior Cloud Infrastructure Engineer for Data is responsible for designing, implementing, and optimizing the cloud infrastructure that supports the organization's data, analytics, and AI platforms.

This role will ensure the seamless integration and scaling of cloud services to meet the demands of data-driven applications, analytics pipelines, and AI/ML workloads.

The Senior Infrastructure 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.

As a Senior Cloud Infrastructure Engineer - Data, you will be responsible for designing, deploying, and optimizing cloud infrastructure to support the organization's data, analytics, and AI platforms.

You will play a key role in building scalable and secure environments that enable advanced data processing and analytics operations.

You will collaborate with data architects and data engineers to build robust, secure, and high-performance environments while ensuring and cost efficiency and reliability aligning with evolving business needs.


Key Responsibilities:
  1. Design, deploy, and manage scalable, high-performance cloud infrastructure for data and analytics platforms using AWS.
  2. 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.
  3. Design and manage cloud environments for AI/ML models, including platforms such as Amazon SageMaker, Azure Machine Learning, or Google AI Platform, ensuring optimal compute, storage, and networking configurations.
  4. Continuously optimize cloud resources for performance and cost efficiency. Implement autoscaling, monitoring, and tuning strategies to balance compute power and operational costs for data processing and AI workloads.
  5. Develop and maintain Infrastructure-as-Code (IaC) solutions using tools like Terraform and CloudFormation, to automate cloud infrastructure provisioning, configuration, and management.
  6. Implement best practices for cloud security, including data encryption, identity and access management (IAM), and network security according to enterprise information security standards.
  7. Ensure infrastructure complies with relevant industry regulations (e.g., GDPR, HIPAA) and internal data governance policies.
  8. Set up and maintain monitoring systems for cloud infrastructure, ensuring high availability, quick incident response, and proactive problem resolution.
  9. Collaborate with data engineers, and data scientists, and delivery leads to ensure the cloud infrastructure supports evolving needs for data pipelines, analytics workloads, and AI/ML experimentation.

Requirements:
  1. Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field.
  2. 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.
  3. Experience managing infrastructure for AI and machine learning workloads, including deep learning frameworks (e.g., TensorFlow, PyTorch) and AI/ML services in AWS, Azure, or Google Cloud.
  4. Proficiency in automation tools such as Terraform, CloudFormation, or Ansible for infrastructure provisioning and configuration management.
  5. Knowledge of cloud security best practices, including identity management, data encryption, and regulatory compliance (e.g., GDPR, CCPA, HIPAA).
  6. Experience with monitoring tools and techniques for optimizing performance, handling incidents, and troubleshooting cloud infrastructure for data and analytics platforms.

Preferred Qualifications:
  1. Cloud certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, or Azure Solutions Architect Expert.
  2. Knowledge of hybrid cloud environments, integrating on-premises infrastructure with cloud-based services for data and analytics workloads.
  3. Hands-on experience with managing cloud-based data platforms like Snowflake (preferred), Databricks, or Google BigQuery, as well as supporting modern data lake architectures.
  4. Experience with big data and real-time streaming technologies like Apache Kafka, Spark, or Flink.

Benefits:

Pacific Life offers a comprehensive benefits package, including medical, dental, vision, and wellbeing reimbursement account, generous paid time off options, paid parental leave, and competitive 401k savings plan with company match and additional contribution.

Base pay range: $131,000 - $160,000.

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