GS - Data Science Pod

Cloud Engineer

Hybrid Role

Compensation: $40 - $80

ABOUT THE ROLE

Our Client is seeking a Cloud Engineer to join their internal AI team, responsible for ensuring the reliable, secure, cost-effective, and compliant operation of digital health software and data systems. This role blends service management discipline with hands-on cloud engineering, requiring a proactive, self-directed individual who can troubleshoot complex cloud systems, own issues end-to-end, and build automation that keeps problems from recurring. You will support operational readiness across development, test, QA, and production environments while maintaining regulatory and quality compliance. Beyond day-to-day support, you will help shape how the platform is monitored, secured, and operated at scale, working closely with software engineers, cloud providers, security teams, and enterprise service organizations.

WHAT YOU'LL DO

• Design, implement, and maintain monitoring and alerting systems for cloud applications and infrastructure using AWS-native services (CloudWatch, EventBridge, AWS Config, Security Hub) and custom scripts (e.g., Python, Lambda-based health checks), tuning thresholds and routing to reduce alert noise and improve resolution times
• Extend and automate CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CodePipeline) to include operational, security, and compliance tasks such as automatic image rebuilding, embedding security patching and vulnerability fixes, image and dependency scanning, and policy enforcement as pipeline gates
• Drive the response to cybersecurity and vulnerability findings, coordinating with security and partner teams (including those outside the U.S.), triaging and prioritizing findings, tracking remediation against timelines, establishing consistent remediation approaches, and reporting risk posture to stakeholders
• Monitor and optimize cloud spend across AWS and Azure, maintaining cost dashboards, budgets, and anomaly alerts (e.g., AWS Cost Explorer, Azure Cost Management), identifying savings through rightsizing and resource cleanup, enforcing tagging standards, and providing regular spend reports and forecasts to leadership
• Provide Tier 1 and Tier 2 technical support for internal AI applications and cloud infrastructure, owning issues end-to-end with AWS Support, vendors, and internal teams, and leading root cause analysis and post-incident reviews
• Collaborate with development and internal teams (via ServiceNow) to provision and support AWS and Azure resources (RDS, S3, Route 53, ECR, ECS/EKS, Lambda, Entra ID, Azure AI Foundry, application email integrations) across all environments
• Complete CAPA (Corrective and Preventive Action) items, including access reviews and secret rotations, and maintain validation documentation aligned with regulatory, quality, and audit requirements
• Manage service requests, incidents, problems, and change requests in ServiceNow, and track operational and project work in Jira
• Plan and support deployment and post-deployment activities, including readiness checks, validation, rollback planning, and operational verification
• Report on usage, incident, change, reliability, and cost metrics, and maintain runbooks and SOPs that improve reliability and build team capability

WHAT YOU BRING

• Proven experience in cloud operations, technical support engineering, DevOps, or site reliability within regulated or enterprise environments, including Tier 1 and Tier 2 support and root cause analysis
• Strong working knowledge of AWS (e.g., RDS, S3, IAM, Route 53, CloudWatch, Lambda, ECR/ECS), including cloud networking and IAM; Azure experience is a strong plus
• Hands-on experience building monitoring and alerting with AWS-native services and custom code using Python, Bash, or similar scripting languages
• Experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CodePipeline) and containerization (e.g., Docker, ECS, EKS)
• Experience with vulnerability management, including triaging and remediating container and dependency vulnerabilities
• Familiarity with cloud cost management and FinOps practices, CAPA, secret management, and change management
• Experience using ServiceNow and Jira or similar tools
• Strong ownership mindset and excellent communication skills, with the ability to coordinate across teams, vendors, and time zones and explain technical trade-offs to non-technical audiences
• Nice to Have:
• AWS Certification (e.g., SysOps Administrator, DevOps Engineer, Solutions Architect, or Security Specialty), or a FinOps Certified Practitioner credential
• Experience with Infrastructure as Code (e.g., CloudFormation, Terraform, AWS CDK)
• Experience with container and cloud security tooling (e.g., Amazon Inspector, Trivy, Snyk, Wiz) or observability platforms (e.g., Datadog, Grafana, Splunk)
• Experience supporting AI/ML-enabled applications or digital health, regulated software, or GxP systems

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