Cloud Engineer

Company Description AI Vidya is a training and career enablement organization focused on developing future leaders in artificial intelligence. The company provides personalized AI training programs designed to help individuals build practical, industry-relevant skills. With dedicated job assistance and expert guidance, AI Vidya supports learners throughout their career journey in the digital age. The organization emphasizes confidence-building, skill mastery, and ongoing mentorship to help participants thrive in the fast-paced world of AI. Joining AI Vidya means being part of a community that aims to lead and innovate in the evolving AI landscape.

Role Description This is a full-time remote Cloud Engineer role. The Cloud Engineer will design, build, and maintain cloud-based infrastructure to support AI Vidya’s training platforms and internal systems. Responsibilities include implementing scalable and secure cloud solutions, managing Linux-based servers, configuring and monitoring databases, and optimizing performance and reliability across environments. The role involves collaborating with software development teams to deploy applications, automate workflows, and improve CI/CD pipelines. The Cloud Engineer will also troubleshoot production issues, implement best practices for security and cost optimization, and contribute to documentation and operational standards.

Qualifications

• Strong foundation in Cloud Computing and Infrastructure, including experience with major cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-code tools.
• Proficiency in Linux administration and systems management, including monitoring, security hardening, and automation using shell scripting or similar tools.
• Hands-on experience with Databases (SQL and/or NoSQL), including configuration, performance tuning, backup strategies, and high availability.
• Software Development skills with at least one programming language (e.g., Python, Java, Go) and familiarity with CI/CD pipelines and version control (e.g., Git).
• Understanding of networking concepts (VPCs, subnets, load balancers, firewalls) and cloud security best practices.
• Ability to work independently in a remote environment, manage priorities, and collaborate effectively with cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes) and prior exposure to AI or data platforms is a plus.