Senior Cloud Engineer (Remote)

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 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
• Collaborate 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
• Implement data retention and archival policies
• 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
• Create and maintain technical documentation and knowledge base articles
• Train team members on cloud operations procedures and best practices

Qualifications

• 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
• 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