DevOPS engineer,

Experience : We need 1 midlevel (3+ years)

Notice Period : Immediate to 15days

Location : Hyderabad (On-site)

Key Responsibilities

Design, implement, and maintain scalable and secure cloud infrastructure to support AI/ML model training and deployment.
Automate the provisioning, deployment, monitoring, and management of infrastructure and services.
Build and maintain CI/CD pipelines for both traditional software and machine learning models (MLOps).
Implement infrastructure-as-code (IaC) using tools like Terraform, Ansible, or CloudFormation.
Ensure system reliability and availability through monitoring, logging, alerting, and incident response.
Manage containerization and orchestration using Docker and Kubernetes.
Ensure security best practices in all aspects of the infrastructure (cloud, containers, pipelines).
Optimize resource usage and cost efficiency in cloud environments.

Required Skills And Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.
3 + years of experience in DevOps, Cloud Engineering, or a similar role.
Hands-on experience with AWS, GCP, or Azure (AI/ML services experience preferred).
Proficiency in scripting languages like Python, Bash, Shell.
Experience with CI/CD tools such as Jenkins, GitHub Actions.
Strong knowledge of Docker, Kubernetes, and Helm.
Experience with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).
Experience with setting cloud alerting system like SMS , Billing alerts
Understanding of networking, security best practices, and system architecture.

Skills: ai/ml services,jenkins,cloud,devops,cloudformation,github actions,shell,ci,aws,azure,elk stack,python,shell & tube heat exchangers,pipelines,docker,helm,kubernetes,grafana,logging,cd,ml,ansible,bash,infrastructure,terraform,prometheus,gcp

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