Senior AI Powered DevOps Engineer

We are seeking a Senior AI Powered DevOps Engineer to modernize software delivery and infrastructure for cutting-edge AI and machine learning initiatives. In this role, you will design, implement, and maintain scalable CI/CD pipelines, automate infrastructure provisioning, and integrate AI-driven monitoring and optimization tools. You will collaborate closely with data scientists, ML engineers, and software developers to ensure seamless deployment of machine learning models and data-intensive applications.

Key responsibilities include building and maintaining cloud-native infrastructure (AWS/GCP/Azure), implementing infrastructure-as-code using Terraform or similar, container orchestration with Kubernetes, and establishing robust observability stacks. You will also explore and adopt AI-powered DevOps tools for predictive scaling, anomaly detection, and automated incident response.

This is a fully remote position open to candidates based in India, offering a competitive salary range of ₹9L – ₹13L per annum (employer provided). You will join a forward-thinking team that values innovation, continuous learning, and a culture of automation. If you are passionate about bridging DevOps and AI/ML, and want to shape the future of intelligent infrastructure, we encourage you to apply.

• 5+ years of experience in DevOps/SRE roles with a focus on AI/ML workloads
• Strong proficiency in cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code (Terraform, CloudFormation)
• Expertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE, AKS)
• Hands-on experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
• Familiarity with ML lifecycle tools (MLflow, Kubeflow, TFX) and GPU/TPU resource management
• Solid scripting skills in Python, Bash, or Go
• Experience with monitoring/observability stacks (Prometheus, Grafana, ELK, Datadog)
• Knowledge of AI-driven ops tools (e.g., predictive autoscaling, anomaly detection) is a plus
• Excellent communication and collaboration skills in a distributed team environment