Sr. Cloud Architect - NoSQL Database Engineer at Humana Annapolis, MD

Senior Cloud Architect - No

SQL Database Engineer – Annapolis, MD

The No

SQL Database Engineer will design, implement, and support Mongo

DB, Neo4j, and vector database solutions within Humana's enterprise architecture. The role requires hands‑on experience with Azure and/or GCP and strong development skills using Python. The engineer will ensure secure, scalable, and high‑performing database environments, collaborating with cross‑functional teams to advance business goals and support modern technology initiatives.

• Design, implement, and optimize No
  
  SQL database solutions using Mongo
  
  DB Atlas, Mongo
  
  DB Enterprise, Neo4j, and AI features.
• Develop and maintain infrastructure automation using Terraform, integrating with Azure and/or GCP.
• Deploy, manage, and scale database workloads using Kubernetes to ensure reliability and operational efficiency.
• Ensure robust database security, backup, recovery, and regulatory compliance in alignment with Humana's standards.
• Monitor database performance, troubleshoot issues, and provide L3 support for production environments.
• Collaborate with stakeholders and cross‑functional teams to integrate database solutions within the enterprise architecture.
• Develop Python‑based automation and data workflows.
• Document processes and solutions in accordance with established SDLC and cloud engineering standards.

• Onboard to the Data Platform Engineering team and develop strong working relationships with cross‑functional stakeholders.
• Review Humana's enterprise architecture, Dev Ops governance, and cloud security standards.
• Assess current Mongo
  
  DB Atlas, Mongo
  
  DB Enterprise, Neo4j, and vector database environments; document initial findings and opportunities.
• Demonstrate proficiency with Kubernetes orchestration and Git Ops workflows through setup or enhancement of development environments.
• Begin contributing Python automation scripts and infrastructure‑as‑code solutions using Terraform for cloud platforms.
• Lead the implementation or optimization of secure, scalable No
  
  SQL solutions with measurable improvements in performance and reliability.
• Integrate AI development tools into data workflows to support analytics and innovation.
• Deliver successful production deployments using Kubernetes and Git Ops principles.
• Establish and document best practices for database security, backup, and compliance.
• Collaborate with Dev Ops and cloud teams to refine CI/CD pipelines and ensure alignment with Humana's standards.
• Track key performance indicators such as deployment frequency, reliability, and code quality metrics.
• Deliver fully operational, compliant, and high‑performing No
  
  SQL database environments supporting critical business applications.
• Provide thought leadership in data platform modernization, leveraging AI, automation, and cloud‑native technologies.
• Mentor junior engineers and contribute to knowledge sharing within the Data Platform Engineering team.
• Document and present lessons learned, successes, and future recommendations to leadership.
• Ensure continued alignment with Humana's enterprise cloud and security engineering standards.

• 3‑Month Goals: Successfully onboard, review architecture and governance, assess database environments, demonstrate Kubernetes and Git Ops proficiency, begin contributing Python automation and Terraform solutions.
• 6‑Month Goals: Lead implementation or optimization of secure, scalable No
  
  SQL solutions; integrate AI development tools; deliver at least one production deployment using Kubernetes and Git Ops; establish best practices for security, backup, and compliance; refine CI/CD pipelines; track key performance indicators.
• 12‑Month Goals: Deliver fully operational, compliant, high‑performing No
  
  SQL environments; provide thought leadership; mentor junior engineers; document and present lessons learned; ensure alignment with enterprise cloud and security standards.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field, or 10 years of hands‑on No
  
  SQL Cloud Architecture experience.
• Proven experience with Mongo
  
  DB and Neo4j in an enterprise environment.
• Practical knowledge of vector…