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EagleView is Hiring Fresher Platform Engineer Intern Cloud Platform Engineering

EagleView

India Softwarefull-timePosted 24 Dec 2025Active

EagleView off campus drive : Job Overview

CompanyEagleView
LocationIndia
CategorySoftware
Employment Typefull-time
Posted24 Dec 2025
StatusActive

Job Description

Platform Engineer Intern – Cloud Platform Engineering | AWS, DevOps, AI/ML

Company Overview

EagleView® is a global leader in aerial imagery, property data analytics, and AI-driven insights, transforming industries such as property insurance, energy, construction, and government. With over 20 years of advanced aerial imaging expertise, EagleView combines machine learning, artificial intelligence, cloud computing, and data engineering to deliver high-impact, scalable technology solutions across global markets.

Operating in high-value technology markets across the United States, Canada, Europe, and Asia, EagleView is known for its innovation in cloud platforms, DevOps automation, AI/ML infrastructure, and FinOps optimization, making it a strong employer in high-CPC technology domains.


Job Title

Platform Engineer Intern – Cloud Platform Engineering

Job Location

Bengaluru, India

Job Category

Corporate | Intern / Co-Op

Job ID

2025-2682


Role Summary

The Platform Engineer Intern will support EagleView’s Cloud Platform Engineering team, focusing on continuous delivery, developer enablement, cloud cost optimization (FinOps), and automation at scale. This role provides hands-on exposure to AWS cloud infrastructure, DevOps pipelines, Kubernetes, Infrastructure as Code, AI/ML integrations, and observability platforms.

The intern will collaborate with software engineers, machine learning teams, and finance stakeholders, applying structured problem-solving approaches within a SAFe Agile framework to build scalable, secure, and cost-efficient cloud systems.


Key Responsibilities

  • Collaborate with Platform Engineering teams to design and implement automation solutions using Python or similar programming languages.
  • Contribute to AI/ML and GenAI integration projects to improve cloud infrastructure efficiency and operational scalability.
  • Assist in DevOps and cloud infrastructure initiatives involving AWS, Kubernetes, Jenkins, and Terraform.
  • Support monitoring, observability, and reliability engineering to ensure high availability and performance of cloud services.
  • Help design and maintain dashboards and visualization tools for platform metrics and cost optimization insights.
  • Troubleshoot complex infrastructure and automation issues with a focus on root cause analysis and long-term reliability.
  • Provide structured progress updates, documentation, and technical reports to senior engineering stakeholders.
  • Contribute, where applicable, to frontend or UI components using JavaScript or React for internal tooling and dashboards.

Required Qualifications

  • Bachelor’s degree (BA/BS) in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
  • Strong programming skills in Python or equivalent languages with demonstrable project or internship experience.
  • Practical understanding of AI/ML concepts as applied to software engineering, DevOps, or cloud platforms.
  • Ability to work independently in a fast-paced, cross-functional engineering environment.

Preferred Skills and Experience

  • Experience with Python, Golang, or similar backend programming languages.
  • Exposure to AWS cloud services, including compute, storage, networking, and monitoring.
  • Familiarity with DevOps tools and practices such as Jenkins, Kubernetes, Terraform, and Infrastructure as Code.
  • Understanding of FinOps principles, cloud cost optimization, and usage monitoring.
  • Knowledge of containerization using Docker and orchestration concepts.
  • Frontend exposure using JavaScript, React, or Angular is an added advantage.
  • Strong analytical, communication, and collaboration skills.

Learning and Career Exposure

  • Real-world experience in cloud engineering, DevOps automation, AI-enabled platforms, and FinOps optimization.
  • Mentorship from experienced platform, cloud, and machine learning engineers.
  • Exposure to global cloud infrastructure projects impacting high-revenue enterprise customers.
  • Strong foundation for future roles such as Platform Engineer, Cloud Engineer, DevOps Engineer, SRE, or MLOps Engineer.

High CPC Keywords

Platform Engineer Intern, AWS Cloud Intern, DevOps Intern Bengaluru, Cloud Platform Engineering Jobs, AI ML DevOps Intern, Kubernetes Intern, FinOps Cloud Jobs, Infrastructure as Code Intern


High CPC Target Countries

United States, Canada, United Kingdom, Germany, Australia, Netherlands, Switzerland, Ireland, Singapore


SEO Tags

EagleView Careers, Platform Engineer Intern India, AWS DevOps Internship, Cloud Engineering Intern Bengaluru, AI ML Cloud Intern, Kubernetes DevOps Intern, Infrastructure Automation Internship

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