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EagleView Platform Engineer Intern 2026 | AWS DevOps & AI/ML Internship for Freshers

EagleView Platform Engineer Intern 2026 | AWS DevOps & AI/ML Internship for Freshers

EagleView is hiring Platform Engineer Interns for its Cloud Platform Engineering team. This internship is an excellent opportunity for recent graduates and aspiring cloud engineers who want hands-on experience in AWS, DevOps, Infrastructure Automation, AI/ML integration, and cloud-native technologies. The role offers exposure to real-world platform engineering challenges within a globally recognized property data analytics and technology company.

As a Platform Engineer Intern, you will work alongside cloud engineers, software developers, machine learning teams, and finance stakeholders to develop automation solutions, optimize cloud infrastructure, and support continuous delivery initiatives. This internship provides valuable experience with AWS, Kubernetes, Terraform, Jenkins, Python, and modern DevOps practices used by leading technology organizations.

Company Name EagleView
Role Platform Engineer Intern
Department Cloud Platform Engineering
Qualification BA/BS in Computer Science or Related Field
Experience Freshers / Entry Level
Eligible Batch 2024, 2025, 2026
Internship Type Full-Time Internship
Stipend ₹25,000 – ₹45,000/Month (Estimated)
Domain Cloud Platform Engineering & DevOps

Role Overview

The Platform Engineer Intern role focuses on cloud automation, developer enablement, infrastructure optimization, and continuous delivery. Interns will contribute to cloud engineering projects while learning how large-scale cloud platforms are designed, managed, and optimized.

Selected candidates will participate in AWS infrastructure projects, DevOps automation initiatives, observability implementations, dashboard development, AI/ML integrations, and cloud cost optimization efforts. The role combines software engineering, cloud computing, and platform operations, providing an outstanding foundation for future cloud engineering careers.

Key Responsibilities

  • Develop automation solutions using Python and related technologies.
  • Support cloud platform engineering projects.
  • Contribute to AI/ML and Generative AI integration initiatives.
  • Assist with AWS infrastructure automation.
  • Work on Kubernetes, Terraform, and Jenkins-based projects.
  • Support DevOps implementation and continuous delivery pipelines.
  • Participate in monitoring and observability initiatives.
  • Build and maintain dashboards and visualization tools.
  • Troubleshoot infrastructure and platform issues.
  • Collaborate with software engineering and machine learning teams.
  • Provide project updates and technical documentation.
  • Optionally contribute to React and JavaScript-based UI development.

Required Skills & Eligibility

  • Completed BA or BS in Computer Science or related discipline.
  • Strong Python programming skills.
  • Knowledge of software development fundamentals.
  • Practical understanding of AI/ML concepts.
  • Strong analytical and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to work independently and collaboratively.
  • Strong ownership mindset and learning attitude.
  • Interest in cloud computing and platform engineering.

Preferred Skills

  • AWS cloud experience.
  • Kubernetes fundamentals.
  • Terraform and Infrastructure as Code concepts.
  • Jenkins and CI/CD knowledge.
  • Docker containerization experience.
  • Golang programming knowledge.
  • React or JavaScript development experience.
  • Automation project experience.
  • DevOps workflow understanding.

Salary Insights

EagleView has not officially disclosed the internship stipend. Based on similar cloud engineering and platform engineering internships in Bengaluru, candidates can expect an estimated stipend between ₹25,000 and ₹45,000 per month. High-performing interns may also gain opportunities for future full-time conversion depending on business requirements and performance.

Why This Internship Is Good for Candidates

Platform Engineering is one of the fastest-growing domains in modern technology organizations. This internship provides practical experience in cloud infrastructure, DevOps automation, AWS services, AI integration, and software engineering workflows. The exposure gained can significantly strengthen a candidate’s profile for future roles in Cloud Engineering, DevOps, Site Reliability Engineering, Platform Engineering, and Infrastructure Automation.

🚀 Career Growth & Future Opportunities

This Platform Engineer Internship can open doors to several high-demand technology careers over the next 2–3 years. By building expertise in AWS, Kubernetes, Terraform, CI/CD pipelines, cloud security, observability, and automation, candidates can position themselves for roles such as Cloud Engineer, DevOps Engineer, Platform Engineer, Site Reliability Engineer (SRE), Infrastructure Engineer, Cloud Consultant, or Solutions Architect. The growing adoption of cloud-native technologies across industries continues to increase demand for professionals who can automate, optimize, and manage scalable infrastructure. Candidates who combine programming skills with cloud engineering knowledge often enjoy faster career progression, higher salaries, and opportunities to work on cutting-edge technology platforms.

📚 Recommended Skills & Learning Resources

To maximize the value of this internship, candidates should focus on strengthening their Python programming skills, cloud fundamentals, Linux administration knowledge, and DevOps concepts. Understanding Infrastructure as Code, containerization, CI/CD pipelines, monitoring systems, and cloud security best practices can provide a significant advantage. Since AI and machine learning are increasingly integrated into modern cloud platforms, familiarity with AI workflows and automation tools can further improve career prospects. Building personal projects using AWS, Docker, Kubernetes, and Terraform is one of the best ways to gain practical experience and demonstrate technical competence to future employers.

🎯 Interview Preparation

EagleView is likely to evaluate candidates on Python programming, cloud fundamentals, DevOps concepts, Linux basics, problem-solving skills, and project experience. Candidates should revise AWS services, CI/CD workflows, Docker, Kubernetes fundamentals, Infrastructure as Code concepts, and software development principles. Interviewers may ask about automation projects, cloud deployments, Git workflows, AI/ML exposure, and troubleshooting scenarios. Fresh graduates should be prepared to explain personal projects, internships, hackathons, and technical challenges they have solved. Strong communication skills are equally important because platform engineers collaborate across multiple technical teams. To improve your preparation, review the Associate Software Engineer Interview Questions, study the AI-Based Hiring Preparation Guide, and build a strong profile using the ATS-Friendly Resume Guide.

How to Apply for EagleView Platform Engineer Intern

  1. Click the Apply Now button below.
  2. Visit the official EagleView careers portal.
  3. Review the internship requirements carefully.
  4. Create your candidate profile.
  5. Upload your latest resume highlighting cloud, Python, and DevOps projects.
  6. Complete the online application form.
  7. Verify all details before submission.
  8. Submit your application and monitor recruitment updates.

Frequently Asked Questions

Who can apply for the EagleView Platform Engineer Internship?

Candidates who have completed a BA/BS degree in Computer Science or related fields and possess programming knowledge can apply.

Which technologies are most important for this internship?

Python, AWS, Kubernetes, Terraform, Jenkins, Docker, AI/ML concepts, and DevOps fundamentals are highly valuable.

Is prior cloud experience mandatory?

No. However, practical projects involving AWS, automation, DevOps, or cloud technologies can significantly strengthen your application.

How to Apply for EagleView Platform Engineer Intern

  1. Visit the official EagleView Careers portal.
  2. Search for Platform Engineer Intern (ID: 2026-2817).
  3. Complete your application profile.
  4. Upload your resume and submit the application.

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Apply Now – EagleView

If you are passionate about cloud computing, DevOps automation, AI-powered infrastructure, and platform engineering, this EagleView internship offers an excellent opportunity to gain practical industry experience. Continue building projects, strengthening your cloud skills, and learning emerging technologies to maximize your future career opportunities.

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