Cloud / DevOps Engineer

Team: IT

Location: US

Commitment: Contract

Workplace Type: remote

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.