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About the role
As a DevOps Engineer at Rakuten India, you will be responsible for designing, implementing, and maintaining highly available, scalable, and secure cloud infrastructure using Kubernetes and other cloud-native technologies. Your role will involve developing and maintaining CI/CD pipelines to automate deployment, testing, and monitoring of applications and microservices. You will collaborate with software development teams to optimize application performance, troubleshoot issues, and ensure seamless integration of new features. Additionally, you will implement best practices for infrastructure as code (IaC) using tools such as Terraform, Ansible, or similar technologies. Your responsibilities will also include contributing to the implementation and optimization of AIOps solutions for predictive analytics, anomaly detection, and intelligent incident management. You will implement security best practices and compliance standards across the infrastructure and deployment pipelines. Researching and experimenting with AI/ML techniques to automate operational tasks, optimize resource allocation, and improve system resilience will be part of your role. Providing technical guidance and mentorship to junior members of the DevOps team and collaborating with data scientists or ML engineers to integrate AI models into operational workflows for automated insights and decision-making are also key responsibilities. Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus. - Minimum of 3 years of experience in DevOps or related roles, with a focus on cloud infrastructure and Kubernetes. - Proficiency in cloud platforms such as AWS, GCP, or Azure. Certification is a plus. - Strong experience with containerization technologies, especially Docker and Kubernetes. - Solid understanding of CI/CD principles and experience with Jenkins, GitLab CI, or similar tools. - Hands-on experience with infrastructure as code (IaC) using Terraform, Ansible, or similar tools. - Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar technologies. - Exposure to or interest in AIOps platforms or tools for log analytics, anomaly detection (e.g., Splunk, Dynatrace, Datadog's AI features). - Proficiency in Python is highly desirable, especially for data manipulation and integration with AI/ML tools. - Strong problem-solving skills and ability to troubleshoot complex issues in a distributed environment. - Excellent communication skills and ability to collaborate effectively with cross-functional teams. As a DevOps Engineer at Rakuten India, you will be responsible for designing, implementing, and maintaining highly available, scalable, and secure cloud infrastructure using Kubernetes and other cloud-native technologies. Your role will involve developing and maintaining CI/CD pipelines to automate deployment, testing, and monitoring of applications and microservices. You will collaborate with software development teams to optimize application performance, troubleshoot issues, and ensure seamless integration of new features. Additionally, you will implement best practices for infrastructure as code (IaC) using tools such as Terraform, Ansible, or similar technologies. Your responsibilities will also include contributing to the implementation and optimization of AIOps solutions for predictive analytics, anomaly detection, and intelligent incident management. You will implement security best practices and compliance standards across the infrastructure and deployment pipelines. Researching and experimenting with AI/ML techniques to automate operational tasks, optimize resource allocation, and improve system resilience will be part of your role. Providing technical guidance and mentorship to junior members of the DevOps team and collaborating with data scientists or ML engineers to integrate AI models into operational workflows for automated insights and decision-making are also key responsibilities. Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus. - Minimum of 3 years of experience in DevOps or related roles, with a focus on cloud infrastructure and Kubernetes. - Proficiency in cloud platforms such as AWS, GCP, or Azure. Certification is a plus. - Strong experience with containerization technologies, especially Docker and Kubernetes. - Solid understanding of CI/CD principles and experience with Jenkins, GitLab CI, or similar tools. - Hands-on experience with infrastructure as code (IaC) using Terraform, Ansible, or similar tools. - Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar technologies. - Exposure to or interest in AIOps platforms or tools for log analytics, anomaly detection (e.g., Splunk, Dynatrace, Datadog's AI features). - Proficiency in Python is highly desirable, especially for data manipulation and integration with AI/ML tools.
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