Job Type: Contract

Job Category: IT

Job Description

Job Description – Cloud/AI Platform Engineer
Location – Remote
Contract

Tech Stack: AWS, Kubernetes, Node.js, Python, Claude

Job Responsibilities:

• Design, develop, and maintain scalable cloud-based applications and services using AWS.
• Deploy, manage, and troubleshoot containerized applications using Kubernetes.
• Develop backend services, APIs, and automation using Node.js and Python.
• Build and maintain highly available, scalable, and secure cloud infrastructure.
• Implement CI/CD pipelines and support automated application deployment and release processes.
• Monitor application and infrastructure performance and troubleshoot production issues.
• Work with Kubernetes deployments, services, configurations, scaling, and container orchestration.
• Develop automation scripts and tools using Python and Node.js to improve operational efficiency.
• Integrate Claude and AI capabilities into applications, workflows, and developer productivity solutions.
• Demonstrate hands-on proficiency with Claude skills, including effective prompt development, workflow automation, AI-assisted development, and integration of Claude into technical solutions.
• Evaluate and implement AI-powered solutions using Claude for application development and engineering use cases.
• Collaborate with developers, architects, DevOps engineers, and other stakeholders to design and deliver technical solutions.
• Follow cloud security, scalability, reliability, and performance best practices.
• Troubleshoot complex technical issues across application, container, Kubernetes, and AWS environments.

Required Skills:

• Strong hands-on experience with AWS.
• Hands-on experience with Kubernetes and containerized applications.
• Strong programming experience in Node.js and Python.
• Practical experience building and integrating APIs and backend services.
• Proficiency with Claude/Anthropic AI technologies and Claude skills.
• Experience using AI tools for software development, automation, and engineering workflows.
• Strong understanding of cloud-native architecture and DevOps practices.
• Excellent troubleshooting, analytical, and problem-solving skills.

Required Skills