Senior Devops Engineer (With AI/ML)

What are we looking for!

We are seeking an experienced Senior Infrastructure Mgmt. Engineer with expertise in Azure and AWS, coupled with a strong background in AI/ML deployments. The ideal candidate will have a proven track record in designing, implementing, and maintaining scalable and secure cloud infrastructure on Azure and AWS platforms. Experience with GCP is a plus. The primary responsibility will be to lead the DevOps initiatives and ensure compliance with industry standards and regulations.

Responsibilities

Linux Expertise:

• Possess in-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat, with expertise in shell scripting, package management, and system administration.
• Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration.

Cloud Expertise (AWS/Azure)

• Demonstrate hands-on experience with a wide range of AWS and Azure services, including but not limited to EC2, S3, Lambda, RDS, Azure VMs, Azure Blob Storage, Azure Functions, etc.
• 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.

Infrastructure as Code (IAC):

• Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation, defining infrastructure components as code for automated provisioning and configuration.
• Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes.

AI/ML Infrastructure Mgmt:

• 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 inferenc

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field

‍

‍

Responsibilities

• 7+ 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.
• 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.

‍

You Would Enjoy

• 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.

This role presents a unique opportunity to contribute to the future of impactful business solutions while advancing your career in a collaborative and innovative environment.