Cloud Devops Engineer Intern

💼 Internship🗓 2026-07-24

Core

Design, implement, and maintain cloud-based infrastructure, automating builds, tests, and deployments while ensuring security, performance, and scalability.

Role type

Cloud DevOps Engineer Intern

Builds

Cloud infrastructure, automated CI/CD pipelines, and ML model deployment environments

Domain

Cloud computing, DevOps, Machine Learning infrastructure

Deliverable

infrastructure

Required skills

Cloud platforms (GCP, Azure), Infrastructure as Code (Terraform, Ansible), Containerization (Docker, Kubernetes), CI/CD pipelines, Scripting languages, Web services (REST, RPC), Data engineering tools (Data Bricks, Data Factory, ML Flow)

Preferred skills

Technical certifications, SaaS industry experience

Technologies

GCP, Azure, Terraform, Ansible, Docker, Kubernetes, Data Bricks, Data Factory, ML Flow, Shell

Responsibilities

Design and maintain cloud infrastructure, implement security and scalability measures, automate software builds and deployments, troubleshoot infrastructure issues, collaborate on infrastructure requirements

Seniority

Intern

Rewrite

## About the role Design, implement, and maintain cloud-based infrastructure. ## Responsibilities - Collaborate with cross-functional teams to understand infrastructure requirements and design solutions that meet their needs. - Implement and maintain security, performance, and scalability measures for the infrastructure. - Automate software builds, tests, and deployments to improve efficiency and reduce errors. - Knowledge of web services, API, REST and RPC. - Knowledge on Azure/GCP for create, train, and deploy machine-learning (ML) models in the cloud. - Hands-on experience on Data bricks, Data factory, ML Flow. - Troubleshoot and debug infrastructure issues and provide technical support to internal teams and clients. - Stay up-to-date with emerging trends and technologies in cloud and DevOps. ## Requirements - Bachelor's degree in Computer Science or related field. - Strong knowledge of cloud platforms (e.g. GCP or Azure). - Proficiency in automation tools and scripting languages (e.g. Terraform, Ansible, or Shell). - Experience with containerization technologies (e.g. Docker, Kubernetes). - Familiarity with continuous integration and continuous delivery (CI/CD) pipelines. - Past experience working in saas industry. - A technical certification in is a plus. - Strong communication and collaboration skills.

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