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Pursuing a degree in Computer Science, Computer Engineering, or a related field ... Experience with Python and ML tooling (PyTorch, containers, cloud). * Interest in distributed ...
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PR · On-site
Pursuing a degree in Computer Science, Computer Engineering, or a related field ... Experience with Python and ML tooling (PyTorch, containers, cloud). * Interest in distributed ...
Cloud Engineer Intern information
Are cloud engineers well paid?
Cloud engineers typically earn competitive salaries due to high demand for skills in cloud platforms like AWS, Azure, and Google Cloud. Entry-level positions may start lower, but with experience and certifications, salaries can increase significantly, often exceeding industry averages for IT roles.
Is there a demand for cloud engineers?
There is strong demand for cloud engineers as organizations increasingly adopt cloud computing platforms like AWS, Azure, and Google Cloud. Cloud engineers with skills in cloud architecture, automation, and security are highly sought after across various industries, often requiring certifications and experience with cloud tools.
What is a cloud internship?
A cloud internship is a temporary position where interns gain hands-on experience working with cloud computing platforms like AWS, Azure, or Google Cloud. Interns typically assist with tasks such as deploying applications, managing cloud resources, and learning cloud services, often under the supervision of experienced engineers.
What are some common responsibilities assigned to Cloud Engineer Interns during their internship?
As a Cloud Engineer Intern, you can expect to assist with activities such as configuring and deploying cloud infrastructure, supporting the automation of deployment processes, monitoring system performance, and troubleshooting cloud environments under the guidance of senior engineers. You may work closely with software development, operations, and security teams to implement best practices and ensure cloud systems run smoothly. Interns are often given opportunities to contribute to documentation, test new tools, and learn hands-on by participating in real-world projects. This experience provides valuable exposure to both the technical and collaborative aspects of cloud engineering, helping you build a strong foundation for future roles.
What does a cloud computing intern do?
A cloud computing intern assists with deploying, managing, and monitoring cloud infrastructure and services. They often work with tools like AWS, Azure, or Google Cloud, gaining hands-on experience in cloud environments, scripting, and troubleshooting under supervision.
What is a Cloud Engineer Intern job?
A Cloud Engineer Intern is responsible for assisting in the design, implementation, and maintenance of cloud-based systems and services. They typically work with cloud platforms like AWS, Azure, or Google Cloud to optimize infrastructure, support deployments, and enhance security. Interns may also collaborate with teams to troubleshoot issues, write scripts for automation, and improve system performance. This role provides hands-on experience with cloud technologies, helping interns build skills for a future career in cloud engineering.
What are the key skills and qualifications needed to thrive in the Cloud Engineer Intern position, and why are they important?
To excel as a Cloud Engineer Intern, you should have a solid understanding of computer science fundamentals, cloud platforms (such as AWS, Azure, or Google Cloud), and basic programming or scripting skills, often supported by coursework or relevant projects. Familiarity with tools like Terraform, Docker, Kubernetes, and experience with source control systems like Git are highly valued, and entry-level certifications (e.g., AWS Certified Cloud Practitioner) can be advantageous. Strong analytical thinking, eagerness to learn, effective problem-solving, and clear communication skills set candidates apart. These capabilities are vital for adapting to dynamic cloud environments, collaborating across teams, and rapidly acquiring new technical expertise.
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Internship
Posted 6 days ago
Job description
Build the infrastructure behind Solx's distributed compute and AI — data pipelines, GPU/compute scheduling, and the platform that trains and serves models against real production data.
What you'll do
- Support ML infrastructure — data pipelines, training, and inference workflows.
- Help build tooling for compute scheduling, monitoring, and reliability.
- Work with real manufacturing and compute data.
- Contribute to the distributed compute and orchestration stack.
What you bring
- Pursuing a degree in Computer Science, Computer Engineering, or a related field.
- Experience with Python and ML tooling (PyTorch, containers, cloud).
- Interest in distributed systems and compute at scale.
- Spanish a plus.