Senior Cloud Architect - Automation

Humana

19h•Remote

About The Position

Become a part of our caring community and help us put health first The Senior Cloud Architect – Platform Automation (Cloud Database Platforms) will lead the design and implementation of automated solutions for deploying, managing, and optimizing cloud-based database services across multi-cloud environments. This role ensures consistency, security, and operational excellence by leveraging infrastructure-as-code, AI-powered development tools (such as Codium and Windsurf), and best practices for cloud database automation. The ideal candidate will collaborate with cross-functional teams to drive standardization, enhance scalability, and support business objectives through reliable and efficient cloud database platforms. We are seeking a Senior Cloud Architect to join our Data Platform Engineering team, specializing in cloud database platform automation across Azure and Google Cloud Platform (GCP). This role is responsible for architecting, automating, and optimizing cloud-based database platforms, ensuring operational excellence, scalability, and security.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Minimum of 10 years of hands-on experience in cloud architecture with a focus on database platforms i.e. Azure SQL, Azure PostgreSQL, and Google Cloud SQL.
Advanced skills with Terraform for infrastructure automation.
Proficiency in GitHub actions and minimum of 5 years of Python experience in scripting and integration.
Demonstrated experience with GitOps workflows and tools.
Familiarity with AI-assisted development tools, such as GitHub Copilot.
Deep understanding of cloud networking, security, IAM best practices, and regulatory compliance.
Proven experience designing and operating CI/CD pipelines and modern DevOps methodologies.
Experience working in regulated environments and implementing security i.e. CyberArk, and compliance controls.
Excellent analytical, problem-solving, documentation, and communication skills.
Proven troubleshooting capabilities in large-scale, complex environments

Responsibilities

Architect and implement automated database solutions in Azure and GCP.
Deploy, configure, and integrate native database services (Azure SQL, Azure PostgreSQL, Google Cloud SQL) and MongoDB Atlas.
Develop and maintain infrastructure-as-code using Terraform, adhering to best practices.
Build and maintain Python automation scripts for provisioning, integration, lifecycle management, and monitoring.
Apply GitOps principles to infrastructure and application deployment.
Utilize AI-assisted development tools, such as GitHub Copilot, to enhance code quality and automation.
Collaborate with cross-functional teams to define requirements and ensure compliance with governance and regulatory standards.
Optimize cloud infrastructure for performance, reliability, and cost efficiency.
Design and manage CI/CD pipelines for data workloads, including automated testing and deployment validation.
Implement cloud cost optimization strategies and performance tuning.
Document architectures, automation workflows, and operational procedures.
Troubleshoot and resolve complex issues related to data platform infrastructure and automation.
Demonstrate strong troubleshooting skills and experience operating in large-scale, enterprise cloud environments.