Weekday AI

Sr. DevOps Engineer

Weekday AI India Today
engineering

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.

Requirements

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

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