Cloud Platform Engineer I (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Platform Engineer I in the United States.

In this role, you will help design, deploy, and maintain cloud infrastructure that supports large-scale applications and data processing. You will work closely with development, networking, and security teams to implement automated cloud solutions that are secure, reliable, and efficient. The role provides hands-on experience with public cloud platforms such as AWS, GCP, and Azure, while exposing you to DevOps practices, CI/CD pipelines, and infrastructure-as-code tools. You will contribute to monitoring, performance optimization, and the continuous improvement of cloud environments. This position is ideal for early-career professionals eager to grow their technical expertise and build a foundation for a long-term career in cloud engineering. The environment is collaborative, fast-paced, and focused on innovation and professional growth.

Accountabilities

• Administer and support cloud-based environments, ensuring availability, security, and performance.
• Implement CI/CD deployment plans for new and existing infrastructure using best practices and automation tools.
• Develop monitoring solutions to enhance visibility into system performance and reliability.
• Collaborate with Development, Network, and Security teams to integrate requirements into cloud environments.
• Maintain capacity plans and assist in scaling cloud infrastructure to meet business needs.
• Support design, build, and deployment of cloud applications, including data processing and analytics workflows.
• Deliver continuous integration and delivery pipelines, enabling development teams to execute builds, tests, and deployments efficiently.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent experience.
• 0–2 years of related work experience, or completion of a cloud-focused emerging talent program.
• Familiarity with programming languages such as Java, C, Scala, Python, or Erlang.
• Experience with containerization and orchestration tools such as Docker, Swarm, Kubernetes, or Cloud Foundry.
• Knowledge of infrastructure automation tools like Shell Scripting, Python, Golang, Ansible, or AWS SSM.
• Understanding of networking, firewall concepts, and basic troubleshooting.
• Strong desire to learn, curiosity about AI and developer platforms, and an interest in cloud automation technologies.
• Beginner-level problem-solving skills with ability to gather data, identify issues, and contribute to solutions.

Benefits

• Competitive hourly pay range: $30.00 – $54.03 per hour.
• Comprehensive benefits package including medical, dental, and vision insurance.
• 401(k) plan with employer match and stock purchase options.
• Tuition reimbursement and paid time off, including holidays.
• Flexible work arrangements including remote, hybrid, field, or office schedules.
• Professional development and growth opportunities within the cloud technology domain.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!