Cloud Engineer Intern - Databases

Reports to: Manager, Databases

Shift(s): 08:00 AM to 05:00 PM EST

Location: Greensboro, North Carolina, USA

Employment Type: Internship (Full-Time)

Job Overview

We are looking for an enthusiastic and curious university student or recent graduate to join our team as a Cloud Engineer Intern. This internship offers hands-on exposure to real-world production environments, with a focus on Microsoft SQL Server (MSSQL), PostgreSQL, and Kubernetes-based cloud infrastructure. You will work alongside experienced engineers and DBAs, gaining practical skills in database administration, cloud operations, container orchestration, and cutting-edge AI tooling.

This is an ideal opportunity for students pursuing a degree in Computer Science, Information Technology, or a related field who want to kickstart their career at the intersection of databases, cloud, and modern engineering practices.

Responsibilities

Database Support & Learning

• Shadow and assist senior engineers in the installation, configuration, and day-to-day maintenance of MSSQL and PostgreSQL databases.
• Develop an understanding of database structures, schemas, and application data needs.
• Observe and participate in the deployment of database objects such as tables, views, and stored procedures.
• Assist in running and verifying scheduled backups across MSSQL and PostgreSQL environments.
• Get exposure to query analysis and basic indexing strategies in both MSSQL (T-SQL) and PostgreSQL (PL/pgSQL).
• Assist in identifying slow-running queries and documenting findings.

Kubernetes & Cloud Infrastructure

• Get hands-on exposure to Kubernetes clusters and understand how databases and services are deployed and managed in containerized environments.
• Assist in monitoring pod health, resource usage, and logs within Kubernetes namespaces.
• Learn how database workloads are orchestrated and scaled using Kubernetes concepts such as StatefulSets, PersistentVolumes, and ConfigMaps.
• Support the team in basic kubectl operations and configuration management tasks.

AI Tools & Real-World Applications

• Gain exposure to AI-powered tools actively used in the team's day-to-day workflows, including AI-assisted query optimization, anomaly detection, and automated incident triage.
• Opportunity to work with AI/ML integrations for database performance insights and cloud resource recommendations.
• Explore and experiment with AI coding assistants and productivity tools used by the engineering team in real-time development cycles.
• Collaborate on evaluating or prototyping AI-driven solutions for database observability and operations automation.

Security & Access Control

• Learn user access management, roles, and permissions under the guidance of senior engineers.
• Support periodic security reviews and access audits.
• Team Collaboration
• Collaborate with developers, sysadmins, and support teams on ongoing projects.
• Participate in team meetings, stand-ups, and planning sessions.

Education:

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Information Technology, Cloud Computing, or a related field.

Experience:

• Any academic project, coursework, or personal exposure to relational databases (MSSQL, PostgreSQL, MySQL, etc.) or cloud/container technologies is a plus.