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Company

Pacific Life · 6 hours ago

Sr Cloud Infrastructure Engineer - Data

Omaha, NE

Full-time

Remote

Senior Level

$131K/yr - $160K/yr

7+ years exp

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FinanceFinancial Services

Comp. & Benefits

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWSCloud Infrastructure DesignAI/ML InfrastructureInfrastructure-as-CodeAzureGoogle CloudTerraformCloudFormationData EncryptionMonitoring ToolsSnowflakeMatillionDbtAmazon SageMakerAzure Machine LearningGoogle AI PlatformAnsibleGDPRHIPAAApache KafkaSparkFlinkTensorFlowPyTorchHybrid CloudData Lake ArchitectureBigQueryIncident Management

Required

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) and AI/ML services in AWS, Azure, or Google Cloud.

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 for data and analytics platforms.

Preferred

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 for data and analytics workloads.

Hands-on experience with managing cloud-based data platforms like Snowflake (preferred), Databricks, or Google BigQuery, as well as supporting modern data lake architectures.

Experience with big data and real-time streaming technologies like Apache Kafka, Spark, or Flink.

Benefits

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

Company

Pacific Life

Glassdoor

4.0

Pacific Life Insurance is an insurance company that provides life insurance products, annuities, and mutual funds.

Founded in 1868

Newport Beach, California, USA

1,001-5,000 employees

http://www.pacificlife.com/

H1B Sponsorship

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Trends of Total Sponsorships

2023 (10)

2022 (18)

2021 (15)

2020 (17)