Cloud Engineer Intern - Databases

apexanalytix•Greensboro, NC

2d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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