Sr Cloud Infrastructure Engineer - Data

Job Description:

Pacific Life is investing in bright, agile, and diverse talent to contribute to our mission of innovating our business and creating superior customer experience. We are actively 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.

How will you make an impact:

• Cloud Infrastructure Design and Implementation: Design, deploy, and manage scalable, high-performance cloud infrastructure for data and analytics platforms using AWS.
• Support for Data Platforms: 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.
• AI/ML Platform Integration: 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.
• Performance and Cost Optimization: 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.
• Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code (IaC) solutions using tools like Terraform and CloudFormation, to automate cloud infrastructure provisioning, configuration, and management.
• Security and Compliance: Implement best practices for cloud security, including data encryption, identity and access management (IAM), and network security according to enterprise information security standards. Ensure infrastructure complies with relevant industry regulations (e.g., GDPR, HIPAA) and internal data governance policies.
• Monitoring and Incident Management: Set up and maintain monitoring systems for cloud infrastructure, ensuring high availability, quick incident response, and proactive problem resolution.
• Collaboration with Data and AI Teams: Work closely 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.

The experience you will bring:

• Educational Background: Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field.
• Cloud Infrastructure Expertise: 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.
• AI/ML Infrastructure Experience: 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.
• Automation and IaC Tools: Proficiency in automation tools such as Terraform, CloudFormation, or Ansible for infrastructure provisioning and configuration management.
• Security and Compliance: Knowledge of cloud security best practices, including identity management, data encryption, and regulatory compliance (e.g., GDPR, CCPA, HIPAA).
• Performance Tuning and Monitoring: Experience with monitoring tools and techniques for optimizing performance, handling incidents, and troubleshooting cloud infrastructure for data and analytics platforms.

Preferred Qualifications:
 

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

#LI-DW1

You can be who you are.

• People come first here. We’re committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at www.pacificlife.com. What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife.

Benefits start Day 1.

• Your wellbeing is important. We’re committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.

• Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
• Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off
• Paid Parental Leave as well as an Adoption Assistance Program
• Competitive 401k savings plan with company match and an additional contribution regardless of participation.

Base Pay Range:

The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

Your Benefits Start Day 1  
 

Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.

• Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

• Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

• Paid Parental Leave as well as an Adoption Assistance Program

• Competitive 401k savings plan with company match and an additional contribution regardless of participation

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.