Cloud / DevOps Engineer

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

This is a fully remote contract opportunity for an experienced Cloud / DevOps Engineer focused on building reliable, scalable, and automated cloud infrastructure.
You will design and maintain AWS environments while improving deployment processes, system reliability, and operational efficiency.
The role combines cloud architecture, Infrastructure as Code, Kubernetes, CI/CD, automation, and observability practices.
You will collaborate with cross-functional teams to streamline software delivery and strengthen production environments.
The position provides exposure to modern DevOps and SRE practices across a range of technical projects.
Strong scripting and automation skills will be important for reducing manual work and improving consistency.
The role is well suited to engineers who enjoy solving infrastructure challenges in a distributed, remote environment.

Accountabilities

• Design, implement, and maintain scalable and reliable cloud infrastructure primarily using AWS services.

• Develop and manage Infrastructure as Code using Terraform to create repeatable and maintainable environments.

• Deploy, configure, and operate Kubernetes-based container platforms and workloads.

• Build, maintain, and improve CI/CD pipelines and automated software delivery processes.

• Implement automation using tools such as Ansible and scripting languages including Python.

• Apply DevOps and Site Reliability Engineering practices to improve system availability, performance, scalability, and operational resilience.

• Establish and maintain monitoring, logging, alerting, and observability capabilities across cloud environments.

• Collaborate with engineering and other cross-functional teams to troubleshoot technical issues and improve deployment and operational processes.

• Contribute to cloud automation, reliability, security, and operational excellence initiatives.

• Support modern development practices such as Git-based workflows and, where applicable, GitOps approaches.

Requirements

• 5+ years of professional experience in Cloud Engineering, DevOps, Site Reliability Engineering, or a closely related discipline.

• Strong hands-on expertise with AWS services, cloud architecture, and infrastructure management.

• Demonstrated proficiency with Terraform and Infrastructure as Code principles.

• Practical experience with Kubernetes and container orchestration.

• Hands-on experience designing, implementing, or maintaining CI/CD pipelines and deployment automation.

• Experience with Ansible or comparable configuration-management and automation technologies.

• Strong scripting and automation capabilities using Python or a similar programming language.

• Experience with monitoring, observability, logging, and production system reliability practices.

• Understanding of DevOps and SRE methodologies, including automation, scalability, availability, and continuous improvement.

• Ability to troubleshoot complex infrastructure and deployment issues systematically.

• Strong communication and collaboration skills, with the ability to work effectively in a fully remote environment.

• AWS DevOps Professional certification is preferred.

• Experience supporting AI/ML workloads on AWS is a plus.

• Familiarity with GitOps workflows is preferred.

Benefits

• Indicative contract rate of $65–$75 per hour .

• Fully remote position available to candidates located in the United States.

• Flexible remote work environment.

• Opportunity to work with AWS, Kubernetes, Terraform, CI/CD, automation, and modern observability technologies.

• Exposure to DevOps, SRE, cloud infrastructure, and emerging AI/ML workloads.

• Opportunity to contribute to varied cloud engineering projects and modernize infrastructure and deployment practices.

• Contract engagement with opportunities to apply and expand advanced cloud and DevOps expertise.

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.