Information Technology Intern

Job Title: Information Technology Intern

The internship program is for 6 months.

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Information Technology Intern (Software Engineering)

Overview

As a Software Engineering Intern, you will help design, build, and ship applications on our Data & Analytics Platform, learning modern Agile and DevOps practices while contributing to real, global projects. You will work alongside experienced full-stack engineers to develop cloud-native solutions, gaining hands-on exposure to the full software development lifecycle.

Key Responsibilities

• Contribute to writing and testing code for Data & Analytics applications
• Support building end-to-end cloud-native (Azure) solutions
• Learn and apply modern software engineering practices (CI/CD, Agile, DevOps)
• Collaborate with engineers, designers, and product teams to deliver features
• Help translate designs into clear, detailed low-level documentation

Requirements & Tech Stack

• Foundational programming skills in Java and/or TypeScript
• Understanding of relational databases and basic SQL
• Strong problem-solving, communication, and interpersonal skills
• A desire to produce high-quality software through testing, code reviews, and teamwork

Preferred Skills (not Mandatory)

• Exposure to Spring Framework and/or React
• Familiarity with Azure Cloud services, Python, or Angular
• Understanding of version control (Git) and CI/CD concepts
• Experience contributing to team projects or technical documentation

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Information Technology Intern (Platform Engineering)

Overview

As a Platform Engineering Intern, you will help build, maintain, and optimize our cloud infrastructure, CI/CD pipelines, and overall DevOps practices. You will learn Infrastructure as Code and containerization while supporting the reliability, scalability, and efficiency of our applications and services on high-impact global projects.

Key Responsibilities

• Support designing and managing scalable, secure cloud infrastructure using Infrastructure as Code (Terraform)
• Help build, maintain, and optimize CI/CD pipelines for automated delivery and testing
• Learn containerization and orchestration with Docker and Kubernetes
• Assist with monitoring, logging, and alerting to keep platforms reliable
• Collaborate with development teams to embed DevOps practices across the lifecycle

Requirements & Tech Stack

• Foundational understanding of cloud platforms (Azure preferred)
• Basic scripting skills in Python and/or Bash
• Strong problem-solving skills and attention to detail
• Good communication and collaboration skills

Preferred Skills (not Mandatory)

• Exposure to Terraform or other Infrastructure as Code tools
• Familiarity with Docker and Kubernetes
• Understanding of CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, GitLab CI)
• Awareness of monitoring/logging tools (Prometheus, Grafana, ELK, Azure Monitor)
• Interest in Agile methodologies

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Information Technology Intern (AI Engineering)

Overview

As an AI Engineering Intern, you will help ensure the reliability, availability, and performance of our production AI/ML systems. Blending software engineering principles with operations, you will support building scalable, observable solutions on Azure while collaborating with development and operations teams on automation and optimization.

Key Responsibilities

• Support maintaining production systems for high availability and reliability
• Help build monitoring and observability dashboards and alerts for system health
• Contribute to automation solutions for routine operational tasks
• Assist in developing and maintaining automated tests for production systems
• Support production deployments and change management for minimal downtime

Requirements & Tech Stack

• Understanding of cloud computing concepts, particularly Microsoft Azure
• Intermediate Python programming skills
• Strong problem-solving skills
• Strong written and verbal communication in English

Preferred Skills (not Mandatory)

• Exposure to AI/ML products such as Azure Machine Learning and Databricks
• Familiarity with monitoring, observability, and logging implementation
• Experience with source control (GitHub), pull request reviews, and static analysis (e.g., SonarQube)
• Interest in writing tests with Pytest

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Information Technology Intern (Data Science / Data Engineering)

Overview

As an Intern, you will work on real business problems using data — whether that involves building scalable data pipelines or developing advanced analytical and machine learning models. Depending on business needs and your strengths, you may work in either a Data Engineering or Data Science capacity — both roles collaborate closely to deliver end-to-end data solutions.

Key Responsibilities

• Work on real-world business problems using large and complex datasets
• Build, analyze, and derive insights from data to support decision-making
• Collaborate with cross-functional teams including business, product, and engineering
• Contribute to the design and development of scalable data or analytics solutions

If aligned to Data Engineering, you will:

• Develop and maintain data pipelines and workflows
• Work with structured and unstructured data at scale
• Support data platform development and data quality initiatives

If aligned to Data Science, you will:

• Apply statistical analysis and machine learning techniques
• Perform exploratory data analysis and feature engineering
• Build and evaluate predictive or optimization models

Requirements & Tech Stack

• Proficiency in Python and/or SQL
• Understanding of data structures, algorithms, and basic statistics

Preferred Skills (not Mandatory)

• Exposure to machine learning, data analysis, or big data concepts
• Familiarity with tools/frameworks such as Pandas, scikit-learn, PyTorch, Spark, or similar
• Experience working with large datasets or cloud platforms (Azure, GCP, etc.)
• Basic understanding of software engineering practices (Git, testing, CI/CD)

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Qualifications

All Roles Require

• Currently pursuing a degree in Computer Science, a related technical field, Engineering, Mathematics, Statistics, or a related quantitative field.
• Strong problem-solving skills.
• Good communication and collaboration skills.

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Job Location: MUMBAI GENERAL OFFICE

Job Schedule: Full time