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Sr. DevOps Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 800000 - Rs 2000000 (ie INR 8 - 20 LPA). Min Experience: 2 years. JobType: full-time. As a Senior DevOps Engineer, you will play a key role in designing, deploying, scaling, securing, and maintaining cloud platforms that support both customer-facing applications and internal engineering productivity. While product teams focus on feature delivery, the DevOps function ensures operational excellence through automation, reliability, and cloud engineering best practices. This is a hands-on role with a strong emphasis on efficiency, scalability, and reliability of public cloud infrastructure.. Key Responsibilities. Design, build, and maintain secure and highly available cloud infrastructure to support production systems . Implement and enhance DevOps tooling, including CI/CD pipelines, deployment automation, and infrastructure-as-code . Contribute to and enforce best practices in cloud architecture, DevOps workflows, and operational excellence . Monitor infrastructure health, troubleshoot issues, and support incident resolution in collaboration with engineering and vendor teams . Implement and manage logging, monitoring, alerting, and auto-scaling solutions for cloud resources . Participate in root cause analysis and recommend improvements to improve system resilience and performance . Document infrastructure designs, configurations, processes, and operational guidelines . Collaborate closely with product, engineering, and external partners to ensure smooth integrations and cloud governance compliance . Requirements. 2–5 years of experience in the software or IT industry with exposure to cloud platforms and DevOps practices . 2–3 years of hands-on experience with cloud infrastructure and networking (Azure preferred; AWS or GCP acceptable) . Strong understanding of CI/CD pipelines, automation frameworks, and infrastructure-as-code tools (Terraform, ARM, Bicep, Ansible, etc.) . Experience with containerization and orchestration technologies such as Docker and Kubernetes . Familiarity with monitoring and logging platforms (Azure Monitor, Prometheus, ELK, Datadog, or similar) . Solid understanding of high availability, scalability, reliability, and cloud cost optimization . Strong communication and documentation skills . Comfortable working in Agile environments such as Scrum or Kanban . Bachelor’s degree in Computer Science, Engineering, or a related field . Key Skills. Azure / AWS . DevOps Practices . Kubernetes . Docker . CI/CD . Jenkins. Company Location: India.