Needl.ai Hiring Cloud Engineer

🔹 Company: Needl.ai

🔹 Job Role: Cloud Engineer

🔹 Qualification:

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience)

🔹 Experience: 1+ Years

🔹 Salary: Competitive (Based on experience & skills)

🔹 Job Location: Remote / Flexible Work Options

🔹 Last Date: Apply Immediately

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🔹 Follow Us:

@Instagram

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🔹 Job Description:

Needl.ai is seeking a skilled Cloud Engineer to join our Enterprise Delivery team. You will deploy and manage tailored cloud solutions on the Azure public cloud platform and on-premises, supporting scalable, reliable, and secure AI workloads for our clients.

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🔹 Key Responsibilities:

• Deploy, maintain, and support Needl.ai solutions on Azure Cloud and on-premises environments
• Design cloud solutions based on customer use-cases to meet business and technical requirements
• Automate cloud infrastructure using Terraform, Docker, Kubernetes, and GitHub Actions
• Ensure scalability, security, and performance optimization of cloud environments for AI workloads
• Collaborate with engineering, product teams, and clients for seamless cloud solution integration
• Provide ongoing customer support and troubleshoot cloud deployment issues
• Implement and document cloud architecture best practices for scalable and repeatable deployments

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🔹 Skills & Qualifications:

• Minimum 1+ years of proven experience as a Cloud Engineer
• Strong expertise with Azure Cloud platform and cloud architecture
• Proficiency with Infrastructure as Code (IaC) tools: Terraform, Docker, Kubernetes
• Experience in automation and CI/CD using GitHub Actions and scripting (Python preferred)
• Ability to design scalable, secure, and cost-effective cloud solutions
• Excellent communication and collaboration skills for working with technical and non-technical teams
• Strong analytical and problem-solving abilities

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🔹 What We Offer:

• Competitive salary and comprehensive benefits
• Opportunity to work with cutting-edge AI and cloud technologies
• Flexible work hours and remote work options
• Dynamic, inclusive, and collaborative team environment
• Strong career growth and learning opportunities in AI and cloud domains

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