About The Team
We are looking for a proactive and detail-oriented Site Reliability Engineering (SRE) Intern to join our Big Data Infrastructure team. This internship is ideal for students who are passionate about Linux systems, scripting, and large-scale data platforms. You will gain hands-on experience in operating and improving the reliability of data infrastructure services.
Job Description
Support daily operations of big data platforms, including monitoring, troubleshooting, and routine maintenance.
Write and optimize Shell scripts to automate operational workflows and system tasks.
Assist in system health checks, log analysis, and reliability improvements.
Participate in building tools to enhance the observability and automation of data services.
Document standard operating procedures and support knowledge sharing across the team.
Requirements
Basic Qualifications
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Strong understanding of Linux operating systems and command-line tools.
Proficiency in Shell scripting (bash, sh, etc.).
Clear interest in large-scale systems and reliability engineering.
Willingness to learn, take initiative, and work collaboratively.
Bonus Qualifications (Nice To Have)
Familiarity with Python for automation or internal tooling.
Experience with web platform development (e.g., using Flask, FastAPI, or similar frameworks).
Exposure to big data and storage engines such as: HDFS, Apache Ozone, Alluxio
Understanding of monitoring or alerting tools (e.g., Prometheus, Grafana, ELK).
Knowledge of Git and basic CI/CD workflows.
What You'll Gain
Real-world experience in operating and improving a production-grade big data platform.
Exposure to SRE practices including automation, fault-tolerance, and observability.
Mentorship from experienced infrastructure engineers.
Potential opportunity for full-time conversion based on performance and graduation timeline.