Cloud Engineer Intern - Databases

EngineeringDevops Engineer
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Quick Summary

Key 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.

Technical Tools
kubernetesmysqlpostgresqlsqlsql-optimization

At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world.   We’re the perfect balance of established company and start-up.  You will find a unique home here. 

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.

Responsibilities

~1 min read
  • 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.
  • Team Collaboration
  • Collaborate with developers, sysadmins, and support teams on ongoing projects.
  • Participate in team meetings, stand-ups, and planning sessions.
  • Currently pursuing or recently completed a Bachelor's degree in Computer Science, Information Technology, Cloud Computing, or a related field.
  • Any academic project, coursework, or personal exposure to relational databases (MSSQL, PostgreSQL, MySQL, etc.) or cloud/container technologies is a plus.

Location & Eligibility

Where is the job
Greensboro, United States
On-site at the office
Who can apply
US

Listing Details

First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
42%
Scored at
May 6, 2026

Signal breakdown

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apexanalytix-careersCloud Engineer Intern - Databases