Cloud Operations Specialist

* **Role:** Cloud Operations Specialist * **Location:** On\-site * **Payout:** Competitive **Role Overview:** We are hiring for one of our clients, seeking a DevOps Engineer to work on a contract basis. In this role, you will design, implement, and manage scalable cloud infrastructure on AWS and Kubernetes to support next\-generation AI systems. Your work will directly contribute to improving how AI models learn, reason, and perform through high\-quality, real\-world input. This opportunity is ideal for professionals with deep expertise in cloud infrastructure who want to apply their skills in a cutting\-edge AI\-driven environment. **Key Responsibilities:** • Design, implement, and maintain scalable cloud infrastructure solutions using AWS and Kubernetes to ensure system reliability and performance. • Automate deployment pipelines, monitoring, and configuration management to enhance operational efficiency and reduce manual intervention. • Collaborate with development teams to integrate and deliver continuous updates across multiple environments while maintaining system stability. • Monitor system performance metrics, proactively identifying and resolving bottlenecks or potential outages to minimize downtime. • Implement and enforce security best practices within DevOps processes to support compliance and protect sensitive data. • Document technical processes, workflows, and incident reports clearly for both technical and non\-technical stakeholders. **Required Skills \& Qualifications:** • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • Minimum of 3 years of hands\-on experience with AWS cloud services and infrastructure management. • Proficiency in Kubernetes, including deployment, scaling, and management of containerized applications. • Experience with infrastructure\-as\-code tools such as Terraform or AWS CloudFormation for reproducible deployments. • Strong knowledge of CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI to automate software delivery. • Familiarity with monitoring and logging tools such as Prometheus, Grafana, or AWS CloudWatch to track system health. • Understanding of security best practices in cloud environments, including IAM policies, network security, and data encryption. • Excellent problem\-solving skills and the ability to troubleshoot complex system issues in a fast\-paced environment. • Strong written and verbal communication skills to document processes and explain technical concepts to diverse audiences. **More About the Opportunity:** This role offers the chance to work on the infrastructure backbone of an industry\-leading AI platform that connects domain experts with frontier AI development. You will join a team shaping how AI models are trained and evaluated globally, with exposure to cutting\-edge technologies and scalable systems. The position provides an opportunity to contribute to meaningful work that advances AI capabilities across diverse sectors such as finance, healthcare, and engineering. **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!**