Job Description
- Work alongside experienced DevOps and Software Engineers to assist in building and maintaining scalable and secure PaaS/SaaS architectures
- Participate in team discussions to understand and contribute to operational readiness and incident response practices
- Gain hands-on experience in identifying and documenting routine operational tasks, with a focus on automation and efficiency
- Learn how to use and build monitoring dashboards, alerts, and CI/CD pipelines for cloud-native applications
- Shadow senior engineers in root cause analysis (RCA) activities and post-incident reviews
- Get introduced to scripting and infrastructure-as-code (IaC) tools to support deployment and environment automation
- Collaborate in a fast-paced Agile environment with exposure to cutting-edge technologies including AI-integrated DevOps workflows
- Be part of a culture that encourages experimentation, learning, and continuous improvement
- Basic understanding of cloud platforms (AWS preferred) and desire to pursue certifications (AWS Cloud Practitioner/Associate level is a plus)
- Familiarity with Linux command line and basic system administration concepts
- Exposure to scripting (e.g., Shell, Python) and an interest in learning automation tools
- Understanding of software development fundamentals and version control (Git)
- Passion for learning new technologies including DevOps, Cloud, and AI-powered infrastructure
- Excellent communication skills and a team-first mindset
- Willingness to take ownership of learning goals and actively seek mentorship
- Positive attitude, high energy, and strong problem-solving enthusiasm
- Currently pursuing or recently completed a Bachelor’s degree in Information Technology, Computer Science, Software Engineering, or a related field
- Academic or personal projects demonstrating an interest in DevOps/Cloud/SRE/Automation is a plus
- Availability for a full-time internship for a period of 6 months (with potential for a long-term opportunity)
- Enthusiastic individual who are curious, trainable and eager to grow fast in a cutting-edge engineering environment.
- AWS
- Linux
- Shell
- Python
- Git
- Cloud
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