Senior DevOps Engineer to design, build, and manage cloud infrastructure using Terraform. Develop reusable Infrastructure as Code (IaC) modules and templates. Architect and support cloud environments in AWS, Azure, or Google Cloud Platform (GCP). Build and maintain CI/CD pipelines to automate application and infrastructure deployments. Implement and support Docker and Kubernetes environments. Develop automation using Python, Bash, or similar scripting languages. Implement monitoring, logging, and alerting solutions. Troubleshoot production infrastructure and provide on-call support as needed. Collaborate with development, QA, and architecture teams to improve deployment and operational processes. Apply DevOps best practices and support AI-enabled cloud initiatives. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 5+ years of DevOps, Cloud Engineering, or Infrastructure Engineering experience. Strong hands-on experience with Terraform. Experience with AWS, Azure, or Google Cloud Platform (GCP). Experience with Docker and Kubernetes. Experience building CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or similar tools. Proficiency in Python, Bash, or other scripting languages. Experience with configuration management tools such as Ansible, Puppet, or Chef. Knowledge of cloud security, Infrastructure as Code, and DevOps best practices. Familiarity with AI concepts including Machine Learning, Large Language Models (LLMs), and Generative AI. Strong troubleshooting, analytical, communication, and collab

Senior DevOps Engineer to design, build, and manage cloud infrastructure using Terraform. Develop reusable Infrastructure as Code (IaC) modules and templates. Architect and support cloud environments in AWS, Azure, or Google Cloud Platform (GCP). Build and maintain CI/CD pipelines to automate application and infrastructure deployments. Implement and support Docker and Kubernetes environments. Develop automation using Python, Bash, or similar scripting languages. Implement monitoring, logging, and alerting solutions. Troubleshoot production infrastructure and provide on-call support as needed. Collaborate with development, QA, and architecture teams to improve deployment and operational processes. Apply DevOps best practices and support AI-enabled cloud initiatives. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 5+ years of DevOps, Cloud Engineering, or Infrastructure Engineering experience. Strong hands-on experience with Terraform. Experience with AWS, Azure, or Google Cloud Platform (GCP). Experience with Docker and Kubernetes. Experience building CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or similar tools. Proficiency in Python, Bash, or other scripting languages. Experience with configuration management tools such as Ansible, Puppet, or Chef. Knowledge of cloud security, Infrastructure as Code, and DevOps best practices. Familiarity with AI concepts including Machine Learning, Large Language Models (LLMs), and Generative AI. Strong troubleshooting, analytical, communication, and collab