Senior Devops & AI Engineer

• Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration
• Architect cloud solutions leveraging best practices and services offered by AWS and Azure, optimizing for scalability, reliability, and cost-effectiveness
• Implement and manage hybrid cloud environments, facilitating seamless integration and interoperability between AWS and Azure services
• Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes

• Bachelor's degree in Computer Science, Engineering, or related field
• 6+ years of experience in Infrastructure Mgmt. roles, with a focus on cloud platforms (Azure and AWS Preferred)
• Hands-on experience with operations (DevSecOps) principles and best practices
• Proficiency in scripting languages such as Python, PowerShell, or Bash
• Excellent communication and collaboration skills
• In-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat, with expertise in shell scripting, package management, and system administration
• Hands-on experience with a wide range of AWS and Azure services
• Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation
• Experience setting up cloud infrastructure stack, databases, service endpoints, GPU as well as CPU resource scaling, optimization etc.
• Should have worked AIOps/MLOP
• Should have worked on deploying AI/ML Apps using Docker and Kubernetes
• Should have worked on scaling, high availability and reliability tasks for AI application
• Should have worked on deploying and maintaining GPU clusters for AI/ML training and inference

Certifications such as AWS Solution Architect Associate, AWS Cloud Practitioner, Azure DevOps Engineer Expert, Azure Administrator Certified Kubernetes Administrator or relevant industry certifications are a plus

• Opportunity to work on impactful technical challenges with global reach
• Vast opportunities for self-development, including online university access and knowledge sharing opportunities
• Sponsored Tech Talks & Hackathons to foster innovation and learning
• Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
• Supportive work environment with forums to explore passions beyond work