Senior Cloud Engineer; Remote

The Cloud Operations and Data Quality Engineer is responsible for the deployment, monitoring, maintenance, and optimization of cloud infrastructure supporting Quest Diagnostics' Health Analytics Solutions (HAS) data platforms and analytics applications. This role ensures high availability, performance, and security of cloud-based systems while implementing best practices for infrastructure as code, automation, and operational excellence. The Cloud Operations Engineer works closely with data engineering, analytics, and development teams to support production workloads, troubleshoot issues, and implement scalable solutions that meet business and compliance requirements.

This position plays a critical role in maintaining the reliability and efficiency of cloud infrastructure for HAS.

In addition to the cloud oversight responsibilities, the role is responsible for establishing and operationalizing a data management and data quality framework for the HAS data product. The role will collaborate with the Data Platform Product Manager to define data governance standards, implement automated quality controls, and ensure data assets are accurate, reliable, and fit for purpose.

• 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, Cloud Formation, 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 Cloud Watch, 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, Power Shell, 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 including 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

• 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

• 3+ years of experience in cloud operations, Dev Ops, 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…