Cloud and DevOps Engineers [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud and DevOps Engineers based in the United States.

This remote contract opportunity is designed for experienced cloud professionals who enjoy building reliable, scalable, and automated technology environments.
The role focuses on designing cloud infrastructure, improving deployment processes, and strengthening application reliability.
You will collaborate with engineering teams to implement modern DevOps practices, CI/CD pipelines, and infrastructure automation.
The position offers the opportunity to contribute to impactful cloud initiatives across leading platforms such as AWS, Azure, and Google Cloud.
You will help optimize system performance, improve operational efficiency, and support resilient digital solutions.
This role is ideal for engineers who thrive in fast-paced environments and enjoy solving complex technical challenges.

Accountabilities:

The Cloud and DevOps Engineers will be responsible for designing, implementing, automating, and maintaining cloud environments while supporting application reliability, scalability, and operational excellence.

• Design, deploy, and maintain cloud infrastructure across AWS, Azure, and/or Google Cloud environments.
• Develop and manage CI/CD pipelines to automate application build, testing, and deployment processes.
• Implement Infrastructure as Code solutions using tools such as Terraform, CloudFormation, or similar technologies.
• Manage containerized applications and orchestration environments using Kubernetes.
• Improve system reliability, availability, and performance through automation and DevOps best practices.
• Support monitoring, logging, alerting, and troubleshooting activities across cloud environments.
• Diagnose and resolve complex technical issues across infrastructure, applications, networking, and system layers.
• Collaborate with software engineers, architects, and technical teams to streamline development and delivery workflows.
• Apply Site Reliability Engineering (SRE) principles to enhance operational maturity and resilience.
• Participate in Agile development processes and contribute to continuous improvement initiatives.

Requirements:

The ideal candidates will have strong cloud engineering experience, hands-on DevOps expertise, and the ability to build and support scalable technology solutions.

• 3+ years of experience in cloud engineering, DevOps, or related infrastructure roles.
• Strong proficiency with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
• Experience creating and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Solid understanding of Infrastructure as Code concepts and experience with tools such as Terraform or CloudFormation.
• Hands-on experience with containerization and orchestration technologies, especially Kubernetes.
• Familiarity with cloud monitoring, logging, and observability tools.
• Strong troubleshooting skills with the ability to analyze complex hardware, software, and network issues.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
• Knowledge of Site Reliability Engineering practices is preferred.
• Experience with scripting languages such as Python or Bash is a plus.
• Cloud certifications from AWS, Azure, or Google Cloud are highly desirable.
• Strong communication, collaboration, and problem-solving skills.

Benefits:

• Competitive contract rate of $85–$95 per hour.
• Fully remote work opportunity within the United States.
• Flexible contract engagement with the ability to contribute to high-impact cloud projects.
• Opportunity to work with modern cloud platforms and advanced DevOps technologies.
• Exposure to automation, infrastructure modernization, and reliability engineering initiatives.
• Collaborative environment with opportunities to expand technical expertise.
• Ability to contribute to innovative solutions while working with distributed teams.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.