Site Reliability Engineer Intern, Data Infra (Jan-Apr 2026)

Descripción del puesto:

* 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

Requerimientos del candidato/a:

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.

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