DevOps Engineer (Cloud Infrastructure)

quik hire staffing • United State
Remote
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AI Summary

We are seeking a DevOps Engineer to design, implement, and manage scalable cloud infrastructure on AWS with Kubernetes. The ideal candidate will have experience with automation, deployment pipelines, and security best practices. This role is ideal for professionals passionate about automation and cloud-native technologies.

Key Highlights
Design, implement, and manage scalable cloud infrastructure on AWS with Kubernetes
Automate deployment pipelines, monitoring, and configuration management
Collaborate with development teams for seamless integration and continuous delivery
Key Responsibilities
Design, implement, and manage scalable cloud infrastructure using AWS and Kubernetes
Automate deployment pipelines, monitoring, and configuration management
Collaborate closely with development teams to ensure seamless integration and continuous delivery
Monitor system performance, proactively identifying and resolving bottlenecks or potential outages
Establish and enforce security best practices within DevOps processes, supporting compliance and data protection requirements
Technical Skills Required
AWS Kubernetes Terraform Ansible CI/CD practices
Benefits & Perks
Competitive payout
Remote work
Equal opportunity employer

Job Description


  • Role: DevOps Engineer (Remote)
  • Location: Remote (Work from Anywhere)
  • Payout: Competitive


Role Overview:

We are hiring for one of our clients, seeking a DevOps Engineer to work on a Contractor basis. This role involves designing, implementing, and managing scalable cloud infrastructure to support the development of next-generation AI systems. Your work will directly contribute to improving how AI models learn, reason, and perform across domains like finance, healthcare, and engineering. The opportunity is ideal for professionals passionate about automation and cloud-native technologies.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure using AWS and Kubernetes to support AI model training and evaluation.

• Automate deployment pipelines, monitoring, and configuration management to enhance system efficiency and reliability.

• Collaborate closely with development teams to ensure seamless integration and continuous delivery across environments.

• Monitor system performance, proactively identifying and resolving bottlenecks or potential outages.

• Establish and enforce security best practices within DevOps processes, supporting compliance and data protection requirements.

• Document processes and communicate technical information clearly to both technical and non-technical stakeholders.


Required Skills & Qualifications:

• Experience designing and managing scalable cloud infrastructure on AWS with a strong focus on Kubernetes.

• Proficiency in automating deployment pipelines, monitoring, and configuration management using tools like Terraform, Ansible, or similar.

• Hands-on experience with CI/CD practices to ensure smooth integration and continuous delivery across environments.

• Knowledge of system performance monitoring and troubleshooting to maintain system reliability and uptime.

• Familiarity with security best practices in DevOps, including compliance and data protection requirements.

• Strong documentation and communication skills to convey technical information effectively.


More About the Opportunity:

This role offers the chance to work with a global leader in the AI industry, contributing to projects that shape the future of AI systems. You will collaborate with a diverse team of experts and gain exposure to cutting-edge technologies in a fast-evolving field.


Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.


Apply Now!


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