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Cloud Computing Internship ₹35,000/mo. Stipend at Corteva Agriscience

The Cloud Computing Internship at Corteva Agriscience in Hyderabad is designed for motivated candidates who want hands-on experience with cloud platforms, Kubernetes, and machine learning infrastructure. This internship gives students the opportunity to work on real-world cloud solutions, optimize performance, and contribute to data-driven ML initiatives.

Cloud Computing Internship ₹35,000/mo. Stipend at Corteva Agriscience

About Corteva Agriscience

Corteva Agriscience is a pioneering global agriculture company committed to enriching the lives of producers and consumers. Operating in over 130 countries with more than 20,000 employees, Corteva combines innovation, sustainability, and inclusivity to transform agricultural practices. Interns gain exposure to cutting-edge cloud and ML infrastructure projects while contributing to solutions that have a global impact. 🌱

Internship Role Overview

Selected interns will join the infrastructure team to design, deploy, and manage scalable compute environments. They will work closely with data science and ML teams, handling ad-hoc infrastructure needs and contributing to CI/CD pipelines. The internship is a 6-month full-time, in-office program in Hyderabad, providing a stipend of ₹35,000 per month.

Key Responsibilities

  • Deploy and manage Kubernetes clusters on Amazon EKS and Google Kubernetes Engine (GKE)
  • Implement and maintain infrastructure as code using Terraform
  • Support ML platforms and tools like ArgoWorkflow and Ray
  • Respond efficiently to ad-hoc infrastructure requests
  • Monitor and optimize compute workloads for performance, cost, and reliability
  • Ensure security and compliance across cloud environments
  • Contribute to CI/CD pipelines and automation efforts
  • Collaborate with cross-functional teams to deliver high-quality infrastructure solutions

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Eligibility & Skills

CriteriaDetails
Job RoleCloud Computing Intern
Job TypeFull-Time Internship
LocationHyderabad, India
Duration6 Months
Stipend₹35,000/month
Start DateImmediately (between 8th Dec 2025 – 12th Jan 2026)
Required SkillsAWS, GCP, Kubernetes (EKS, RKE, GKE), Terraform, Python, Golang, Bash, Grafana
Soft SkillsProblem-solving, collaboration, task prioritization, communication
Internship PerksCertificate, 5-day work week

Technical Skills

  • Strong hands-on experience with Kubernetes clusters on EKS, RKE, and GKE
  • Proficiency in Terraform and infrastructure automation using FluxCD/ArgoCD
  • Familiarity with machine learning tools like ArgoWorkflow and Ray
  • Solid experience with AWS and GCP cloud platforms
  • Proficiency in Python or Bash scripting
  • Ability to monitor and optimize compute workloads for performance, reliability, and cost

Why Join Corteva Agriscience

  • Gain hands-on experience with cloud infrastructure supporting real-world ML workflows
  • Work alongside experienced engineers in a collaborative environment
  • Learn advanced tools like Terraform, Kubernetes, AWS, and GCP
  • Receive a certificate of completion after 6 months
  • Be part of a global company making a meaningful impact on agriculture and sustainability 🌏

How to Apply

1. Click the Apply Button

Submit your application through the official Corteva Agriscience careers portal.

2. Prepare a Resume Highlighting:

  • Kubernetes, AWS, GCP, Terraform projects or coursework
  • Python/Golang scripting experience
  • Machine learning or infrastructure automation exposure
  • Problem-solving and collaborative skills

3. Interview Preparation

  • Kubernetes cluster deployment and management
  • Cloud platform concepts (AWS, GCP)
  • Infrastructure as code with Terraform
  • CI/CD pipeline basics
  • Scenario-based problem-solving

4. Apply Early

Applications are limited; early submission improves your chances of selection.

The Cloud Computing Internship at Corteva Agriscience in Hyderabad offers a unique chance to build expertise in cloud platforms, ML infrastructure, and DevOps automation, preparing interns for a thriving career in technology. 💻

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