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The NoSQL Database Engineer will design, implement, and support MongoDB, Neo4j, and vector database solutions within Humana’s enterprise architecture. The role requires hands-on experience with cloud platforms (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.

Job Description Summary:

Humana is seeking a seasoned NoSQL Database Engineer to join the Data Platform Engineering team. The successful candidate will design, implement, and support MongoDB Atlas and MongoDB Enterprise, Neo4j, and Vector enabled database solutions within Humana’s enterprise architecture. This role requires at least 10 years of experience, hands-on expertise with cloud platforms (Azure and/or GCP), strong Python development skills, and significant experience with Kubernetes for container orchestration. The engineer will ensure secure, scalable, and high-performing database environments, collaborating with cross-functional teams to advance business objectives and support modern technology initiatives.

What you’ll do:

Design, implement, and optimize NoSQL database solutions using MongoDB Atlas, MongoDB 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.

We’re looking for someone who:

Minimum of 10 years of experience in Database engineering experience working with MongoDB Atlas / Enterprise and Neo4j (equivalent).

Hands-on experience with Azure and/or GCP cloud platforms (Azure and/or GCP).

Strong proficiency in Python (preferred) for automating database tasks.

Demonstrable expertise with Kubernetes for managing containerized database workloads.

Hands-on experience with GitOps workflows and tools.

Experience utilizing AI development tools within engineering and data environments.

Experience with infrastructure-as-code tools, especially Terraform.

Familiarity with cloud security, access management, and regulatory compliance best practices.

Excellent communication and documentation skills.

Is eager to solve tough problems.

Has excellent communication skills.

Is curious, collaborative, and motivated.

Success Measures

3 Month Goals:

• Successfully onboard to the Data Platform Engineering team and develop strong working relationships with cross-functional stakeholders.
• Review Humana’s enterprise architecture, DevOps governance, and cloud security standards (reference).
• Assess current MongoDB Atlas, MongoDB Enterprise, Neo4j, and vector database environments; document initial findings and opportunities.
• Demonstrate proficiency with Kubernetes orchestration and GitOps workflows through setup or enhancement of development environments.
• Begin contributing Python automation scripts and infrastructure-as-code solutions using Terraform for cloud platforms (Azure and/or GCP).

6 Month Goals:

• Lead the implementation or optimization of secure, scalable NoSQL solutions, with measurable improvements in performance and reliability.
• Integrate AI development tools into data workflows to support analytics and innovation.
• Deliver at least one successful production deployment using Kubernetes and GitOps principles.
• Establish and document best practices for database security, backup, and compliance.
• Collaborate with DevOps and cloud teams to refine CI/CD pipelines and ensure alignment with Humana’s standards.
• Track key performance indicators (KPIs) such as deployment frequency, reliability, and code quality metrics.

12 Month Goals:

• Deliver fully operational, compliant, and high-performing NoSQL database environments sup