DevOps Engineer Job in Hyderabad | Cloud Engineering, CI/CD, Kubernetes, AI Model Deployment

Model N is seeking a motivated and detail-oriented DevOps Engineer to support cloud infrastructure, deployment pipelines, and AI-driven systems. This role focuses on automation, scalability, and reliability, with direct involvement in deploying and maintaining AI and machine learning models in production environments.

The position works closely with Engineering, QA, Data Science, and AI teams to ensure seamless integration between development, operations, and artificial intelligence initiatives.

• Develop, deploy, monitor, optimize, and maintain build and release pipelines
• Support development teams with branching strategies and versioning approaches
• Create software packages, builds, releases, patches, and customer deliverables
• Implement CI/CD pipelines for continuous testing and deployment

Cloud Infrastructure and AI Workloads

• Assist in designing and managing DevOps pipelines for AI models and services
• Automate deployment of AI applications and models across AWS, Azure, and GCP
• Maintain and optimize cloud infrastructure for cost efficiency and scalability, especially for AI workloads

AI and Data Science Collaboration

• Work with AI and Data Science teams to productionize machine learning workflows
• Support data pipelines and infrastructure required for AI/ML systems
• Troubleshoot issues related to AI models, data pipelines, and infrastructure integration

Infrastructure as Code and Containerization

• Implement Infrastructure as Code (IaC) using Terraform, Ansible, or CloudFormation
• Support containerization and orchestration using Docker and Kubernetes across applications
• Ensure infrastructure consistency, reliability, and reproducibility

Monitoring, Automation, and Optimization

• Implement and improve monitoring and logging solutions
• Work with QA teams to optimize automation runs using parallelization and auto-scaling
• Stay current with emerging DevOps and AI trends and recommend best practices

Required Qualifications and Technical Skills

• BE/BTech or ME/MTech with 2+ years of experience in DevOps
• Strong understanding of DevOps principles, CI/CD, and automation
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with Docker and Kubernetes
• Exposure to AI/ML concepts, including model deployment and AI workloads
• Proficiency in scripting languages such as Python, Shell, or Bash
• Experience with Infrastructure as Code tools (Terraform, Ansible, CloudFormation)
• Working knowledge of Git and version control workflows
• Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack
• Understanding of data pipelines and ETL processes for AI and ML systems

Soft Skills and Professional Attributes

• Strong analytical and problem-solving abilities
• Excellent communication and cross-team collaboration skills
• Ability to work effectively in a fast-paced, evolving environment
• Passion for learning and growing in DevOps and AI technologies

Use of Artificial Intelligence in Hiring

Model N may use artificial intelligence tools to assist with parts of the recruitment process, including application review and resume analysis. These tools support the recruitment team but do not replace human judgment. All final hiring decisions are made by human reviewers.