DevOps & Automation Engineer

Role Description This is a full-time remote role for a  DevOps & Automation Engineer , offering a  pay scale of ₹20k - ₹30k INR per month . The role involves maintaining and optimizing  DevOps pipelines , developing  automation products , and managing  large-scale cloud infrastructure . You will work on  CI/CD automation, LLM deployments, and cloud infra management , ensuring smooth operations and scalability. Key Responsibilities As a DevOps & Automation Engineer , your day-to-day tasks will include: ✔ Ensuring the smooth functioning of  DevOps pipelines and automating deployment processes. ✔ Developing  CI/CD automation pipelines to streamline software releases and minimize manual interventions. ✔ Creating and managing  automation products to enhance infrastructure efficiency. ✔ Deploying and managing  Large Language Models (LLMs)in production environments. ✔ Handling  complex cloud infrastructure across  AWS, GCP, or Azure , ensuring performance, security, and scalability. ✔ Implementing  Infrastructure as Code (IaC)with  Terraform, Ansible, or CloudFormation for efficient cloud management. ✔ Monitoring  system performance , automating scaling mechanisms, and improving system reliability. ✔ Working closely with  developers and security teams to enhance deployment workflows and ensure compliance. ✔ Troubleshooting  system and network issues , ensuring continuous uptime and stability. Required Skills & Qualifications To succeed in this role, you should have: ✔ Proven experience in managing DevOps pipelines and automating workflows. ✔ Hands-on expertise with  CI/CD tools such as  Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD . ✔ Strong knowledge of  LLM deployment and AI model management in cloud environments. ✔ Expertise in  Infrastructure as Code (IaC)using  Terraform, Ansible, or CloudFormation . ✔ Solid experience in  system administration , particularly in  Linux-based environments . ✔ Deep understanding of  cloud platforms like  AWS, GCP, or Azure , along with Kubernetes and Docker. ✔ Proficiency in  scripting languages such as  Python, Bash, or Go for automation tasks. ✔ Strong  problem-solving skills and the ability to troubleshoot complex cloud and DevOps issues. ✔ A  Bachelor’s or Master’s degree in  Computer Science, IT, or a related field .