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Weekday AI

DevOps Engineer

Weekday AI · India

Technology, Information and Internet · 11-50 employees

4 h ago
Remote Senior (5-10 yrs) Full-time India
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About the role

Design, implement, and maintain scalable cloud infrastructure while managing containerized applications. Collaborate with development teams to streamline deployments and leverage AI-powered tools for automation and troubleshooting.

What they look for

Aws Docker Kubernetes Terraform Ci/cd Cloud infrastructure Linux Bash Python Git Ansible Prometheus Grafana Devsecops Cloud security Kafka

Requirements

Requires 5+ years of DevOps experience with strong expertise in AWS, Docker, and Kubernetes. Candidates must have hands-on experience with IaC tools like Terraform and proficiency in Linux administration and scripting.

Full description

This role is for one of the Weekday's clients

Min Experience: 5+ years

Location: Remote JobType: full-time

We are hiring an experienced DevOps Engineer with 5+ years of hands-on experience in cloud infrastructure, CI/CD, containerization, and automation. The ideal candidate should be passionate about building reliable, scalable, and secure infrastructure while leveraging AI-powered tools to improve operational efficiency.

Responsibilities• Design, implement, and maintain scalable cloud infrastructure.

  • Build and optimize CI/CD pipelines.
  • Manage containerized applications using Docker and Kubernetes.
  • Automate infrastructure provisioning using Terraform or similar IaC tools.
  • Monitor application and infrastructure performance.
  • Troubleshoot production issues and improve system reliability.
  • Collaborate with development teams to streamline deployments.
  • Leverage AI-powered tools for scripting, troubleshooting, documentation, and automation.

Required Skills• 5+ years of DevOps experience.

  • Strong experience with AWS/Azure/GCP.
  • Expertise in Docker and Kubernetes.
  • Hands-on experience with Terraform/CloudFormation/Ansible.
  • Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).
  • Strong Linux administration and Bash/Python scripting.
  • Experience with Git and version control.
  • Knowledge of monitoring tools such as Prometheus, Grafana, ELK, or CloudWatch.

Preferred Skills• DevSecOps

  • Proficiency with AI tools such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar AI assistants.
  • Helm
  • Python or Go
  • Microservices
  • Cloud Security
  • Kafka
  • ArgoCD

Must-have skillsAWS, DOCKER, Kubernetes

Good-to-have skillsJenkins, AI tools, Terraform