Senior Cloud Engineer

Quest Diagnostics is a leading provider of health information services, and they are seeking a Senior Cloud Engineer to manage and optimize their cloud infrastructure supporting Health Analytics Solutions. The role involves deploying, monitoring, and maintaining cloud systems while ensuring high availability and security, as well as establishing data management and quality frameworks.

Responsibilities:

• Deploy, configure, and maintain cloud infrastructure on AWS, Azure, or GCP platforms
• Manage compute resources, storage systems, networking, and security configurations
• Implement and maintain infrastructure as code using tools like Terraform, CloudFormation, or ARM templates
• Optimize cloud resource utilization and manage cost efficiency initiatives
• Maintain documentation of infrastructure architecture, configurations, and procedures
• Implement and maintain monitoring solutions for infrastructure, applications, and data pipelines
• Configure alerts and dashboards using tools like CloudWatch, Azure Monitor, Datadog, or similar
• Coordinate with cross-functional teams to respond to incidents, outages, and performance issues and assist with incident resolution
• Develop and maintain automation scripts using Python, PowerShell, or Bash
• Implement CI/CD pipelines for infrastructure deployment and application releases
• Automate routine operational tasks to improve efficiency and reduce manual effort
• Implement and maintain security controls for cloud infrastructure and data platforms per Quest policies
• Ensure compliance with HIPAA, HITRUST, SOC 2, and other regulatory requirements
• Maintain audit logs and support compliance reporting activities
• Coordinate with security and compliance teams on assessments and audits
• Support data platform infrastructure including data warehouses (Snowflake, Redshift), data lakes, and ETL systems
• Monitor data pipeline performance and troubleshoot processing issues
• Manage the data quality framework include quality rules, monitoring standards, and issue resolution process
• Implement automated data validation and monitoring controls across ingestion, transformation, and delivery pipelines
• Partner with Data Platform management to define and develop data quality KPI reporting
• Implement data retention and archival policies
• Manage database systems, backup and recovery procedures
• Optimize query performance and resource allocation for analytical workloads
• Coordinate with data engineering teams on platform upgrades and maintenance
• Implement data retention and archival policies
• Monitor system performance metrics and identify optimization opportunities
• Conduct capacity planning and resource scaling activities
• Optimize infrastructure costs through rightsizing, reserved instances, and resource cleanup
• Partner with data engineering, analytics, and development teams on infrastructure requirements
• Provide technical guidance and support for cloud infrastructure questions
• Collaborate with vendors and cloud service providers on technical issues
• Support deployment activities and release coordination
• Create and maintain technical documentation and knowledge base articles
• Train team members on cloud operations procedures and best practices

Requirements:

• 3+ years of experience in cloud operations, DevOps, or systems administration
• 3+ years of experience in data management, data quality, data governance, or data engineering within a production analytics environment
• Hands on experience designing and implementing data quality controls across ingestion, transformation, and reporting layers
• Experience defining and operationalizing data governance standards, including data ownership, business definitions, and critical data elements
• 2+ years of hands-on experience with major cloud platforms (AWS, Azure, or GCP)
• Experience deploying and managing production infrastructure in cloud environments
• Proven track record of managing highly available, scalable systems
• Experience with infrastructure as code and automation tools
• Experience supporting data platforms or analytics workloads
• Background in healthcare, life sciences, or regulated industries with compliance requirements
• Bachelor's degree in computer science, Information Technology, Engineering, or related technical field, or equivalent work experience
• 5+ years of cloud operations or DevOps experience
• Multi-cloud experience (AWS, Azure, and/or GCP)
• Experience with containerization and orchestration (Docker, Kubernetes, ECS)
• Background supporting Snowflake, Redshift, BigQuery, or other cloud data warehouses
• Experience with observability platforms (Datadog, New Relic, Splunk, or similar)
• Previous experience in healthcare with HIPAA compliance
• Experience with data pipeline orchestration tools (Airflow, dbt, Prefect)
• Experience implementing automated data quality monitoring tools (rule engines, pipeline validations, anomaly detection)
• Experience building and maintaining data dictionaries, metadata repositories, and lineage documentation
• Experience supporting AI/ML or advanced analytics use cases requiring high data accuracy and consistency
• Master's degree in computer science, Information Technology, or related field
• Cloud certifications (AWS Solutions Architect, Azure Administrator, Google Cloud Professional, or equivalent), DevOps or Infrastructure certifications, ITIL Foundation, or security certifications (Security+, CISSP)