DevOps Engineer (Immediate Joiner)

EazyML, recognized by Gartner, (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation. The company is associated with breakthrough startups like Amelia.ai.

This is a Full-Time Remote Position for a DevOps Engineer.

We are looking for a DevOps Engineer with strong experience in building and managing scalable infrastructure, automating development workflows, and maintaining highly available multi cloud environments (Azure. AWS, GCP). The ideal candidate will have hands-on expertise in CI/CD pipelines, cloud platforms, container orchestration, and infrastructure automation to support modern AI-driven applications.

The person can work from home (anywhere in INDIA, job location is in India. Remote).

Required Qualifications

• 6 + years of experience working in a DevOps, Cloud Engineering, or similar role.
• Strong experience designing and implementing CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or similar platforms.
• Hands-on experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization and orchestration technologies, including Docker and Kubernetes.
• Proficiency in scripting languages such as Bash, Python, or similar automation tools.
• Strong understanding of version control systems such as Git.
• Experience managing and monitoring cloud infrastructure for high availability, scalability, and security.
• Comfortable working in a fast-paced environment.
• Strong ownership mindset and excellent problem-solving skills.

Key Responsibilities:

Design, implement, and maintain robust CI/CD pipelines to automate software development and deployment workflows. Manage and optimize cloud infrastructure across multiple platforms ensuring reliability, scalability, and security. Implement and manage containerized environments using Docker and Kubernetes to streamline application deployment and orchestration. Monitor system performance, troubleshoot issues, and optimize infrastructure and resource utilization.

Collaborate closely with engineering, AI, and product teams to improve the development lifecycle and deployment efficiency. Maintain proper documentation for systems architecture, deployment processes, and DevOps best practices. Ensure infrastructure and deployment processes follow security, reliability, and scalability best practices.

Preferred Qualifications:

• Experience working with Infrastructure as Code (IaaC) tools such as Terraform or CloudFormation.
• Familiarity with monitoring and observability tools such as Prometheus, Grafana, or similar platforms.
• Experience supporting AI/ML or GenAI-based applications in production environments.
• Knowledge of cloud-native architectures and microservices-based systems.