Information Technology Intern
Core
Design, build, and ship applications on the Data & Analytics Platform; build, maintain, and optimize cloud infrastructure, CI/CD pipelines, and DevOps practices; ensure reliability of production AI/ML systems; or build scalable data pipelines and derive insights from complex datasets.
Role type
Software Engineering Intern / Platform Engineering Intern / AI Engineering Intern / Data Science & Data Engineering Intern
Builds
Cloud-native applications, scalable cloud infrastructure, CI/CD pipelines, production AI/ML systems, and data pipelines
Domain
Consumer Packaged Goods (CPG) / Data & Analytics / Cloud Infrastructure / Artificial Intelligence
Deliverable
production ML models
Required skills
Java, TypeScript, Python, Bash, SQL, Cloud platforms (Azure), Git, CI/CD concepts, Docker, Kubernetes, Terraform, Infrastructure as Code, Monitoring and observability, Statistical analysis
Preferred skills
Spring Framework, React, Angular, Azure Machine Learning, Databricks, Pytest, Prometheus, Grafana, ELK, Azure Monitor, Static analysis tools (SonarQube)
Technologies
Azure, Terraform, Docker, Kubernetes, GitHub Actions, Jenkins, GitLab CI, Prometheus, Grafana, ELK, Azure Monitor, SonarQube, Pytest
Responsibilities
Write and test code for Data & Analytics applications; Support building end-to-end cloud-native solutions; Support designing and managing scalable, secure cloud infrastructure; Help build, maintain, and optimize CI/CD pipelines; Support maintaining production systems for high availability; Work on real-world business problems using large and complex datasets
Seniority
Intern