Intern Engineer at Zadara Bangalore | Storage & AI Intern

About Zadara

Zadara provides AI edge cloud solutions through a distributed cloud platform built for sovereign AI applications. The platform delivers advanced AI capabilities with the flexibility of cloud computing while enabling automated provisioning of compute, storage, and networking resources.

The company aims to build and operate the world’s largest global Edge Cloud Network, supporting technologies that enhance how people communicate, work, heal, travel, and play. Zadara operates with a diverse global workforce and continues to expand as its customer base grows.

Culture at Zadara

Zadara’s culture is guided by core values: One Team, Respectful, Accountable, Achievers, and Visionaries. The company promotes an environment where diverse perspectives are respected and individuals are encouraged to contribute their best work.

Team members come from varied cultures, backgrounds, and generations, bringing unique experiences that support innovation and collaboration. This diversity helps shape a forward-thinking and people-focused workplace.

Role Overview

Zadara is seeking a motivated intern or recent graduate to join the Object Storage team. The role allows candidates to apply academic knowledge to a high‑performance, S3-compatible storage engine that supports enterprise applications and sovereign AI solutions within the Zadara Edge Cloud.

The position focuses on applying AI training and data analysis techniques to improve infrastructure intelligence for log analysis. The goal is to help engineering teams perform faster and more accurate Root Cause Analysis (RCA) for complex system issues.

Key Responsibilities

• Develop tools and supporting infrastructure that parse and analyze large-scale system logs using AI training techniques to assist with Root Cause Analysis (RCA).
• Support implementation and testing of new capabilities for the Object Storage engine while maintaining S3 API compatibility and high performance.
• Collaborate with distributed engineering teams across multiple time zones and take part in synchronized release cycles and architecture discussions.

Requirements

• Academic experience or project work related to AI training, machine learning, or big data analysis.
• Strong understanding of Linux or Unix platforms and related concepts.
• Ability to communicate effectively in both written and spoken form.
• Interest in working within a fast-paced and innovative startup environment.