Sr. DevOps Engineer

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