TL;DR
Cloud Engineering Intern (AWS): Building and scaling cloud systems that power large-scale data workloads with an accent on cloud architecture, Infrastructure as Code, and high-availability environments. Focus on automating and optimizing core data services like Kafka, AWS RDS, and Databricks, and ensuring secure, reliable, and production-ready infrastructure.
Location: Utah-based hybrid position, which will require some regular in-office days each week.
Company
hirify.global is building a people intelligence platform that transforms HR and sets people free to do great work.
What you will do
- Develop and maintain Infrastructure as Code (IaC) templates and modules (e.g., Terraform) to automate cloud-based data environment deployments.
- Configure and maintain core data infrastructure components, including data lakes, distributed databases (e.g., Databricks, MySQL), and messaging systems (e.g., Apache Kafka, Memcached).
- Implement automation for scaling, reclaiming, and expanding storage provisions to meet growing data needs.
- Create and monitor scripts to track the health, performance, and uptime of data environments.
- Develop dashboards and alerting systems (e.g., Grafana, Prometheus) to provide visibility into data platform stability.
- Evaluate new data technologies.
Requirements
- Currently a Junior pursuing a bachelor’s or master’s degree in a technical field (e.g., Computer Science, Engineering).
- Understanding of cloud computing concepts and hands-on experience with Amazon Web Services (AWS).
- Experience using Infrastructure as Code (IaC) tools such as Terraform.
- Familiarity with deploying or supporting cloud-based data platforms (e.g., Apache Kafka, Databricks, AWS RDS/MySQL).
- Experience building or working with automation for scaling, backups, or system health checks.
- Working knowledge of monitoring and observability tools such as Grafana, Prometheus, or CloudWatch.
- Understanding of networking and security fundamentals, including IAM, private networking, and encryption.
- Exposure to SQL and working with structured data.
- Must be able to work as a Utah-based hybrid position, requiring regular in-office days each week.
- Employment is contingent on passing both a background and credit check.
Nice to have
- Exposure to or interest in using AI tools to enhance engineering workflows.
Culture & Benefits
- A great company culture recognized by multiple organizations.
- Paid time off for summer holidays and birthdays.
- 401k plans with up to 6% company match.
- Opportunity to join company events during the summer.
- One-year subscription to Financial Peace University with a bonus.
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