Cloud DevOps Engineer

QualityAI

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

1 hour ago
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Job summary

QualityAI in Bengaluru is seeking a Cloud DevOps Engineer to design, build, and maintain scalable, secure infrastructure, and automate deployments. You will work with development, QA and security teams to run pipelines, monitor reliability, and optimize cloud costs while enforcing security practices.

The role requires 3+ years in DevOps and hands-on cloud experience. Join us to improve deployment frequency and ensure production systems run reliably.

Qualifications

  • Bachelor's degree in CS, Engineering, or equivalent.
  • 3+ years in DevOps, SRE, or cloud infra roles.
  • Hands-on with major cloud provider (AWS/Azure/GCP).

Responsibilities

  • Design, implement, and manage cloud infrastructure using IaC.
  • Build and maintain CI/CD pipelines.
  • Monitor system performance with monitoring tools.
  • Manage containerized apps with Docker and Kubernetes.
  • Maintain security best practices including IAM, secrets management, and vulnerability scanning.
  • Automate routine tasks with scripting.
  • Collaborate with development teams to improve deployment frequency.
  • Troubleshoot infra and pipelines, participate in on-call.
  • Maintain documentation and runbooks.
  • Drive cloud cost optimization.

Skills

Cloud infrastructure design
CI/CD expertise
SRE experience
Scripting (Python/Bash)
Linux administration
Networking fundamentals
Security fundamentals

Education

Bachelor's degree in CS/Engineering

Tools

Terraform
CloudFormation
Pulumi
Jenkins
GitHub Actions
Git
Docker
Kubernetes
Prometheus
Grafana
Datadog
CloudWatch

Job description

Job Title: Cloud DevOps Engineer

About the Role

We're looking for a Cloud DevOps Engineer to design, build, and maintain scalable, secure, and highly available infrastructure. You'll work closely with development, QA, and security teams to automate deployments, streamline CI/CD pipelines, and ensure our systems run reliably in production.

Key Responsibilities
  • Design, implement, and manage cloud infrastructure (AWS/Azure/GCP) using Infrastructure as Code (Terraform, CloudFormation, or Pulumi)?
  • Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps) to automate build, test, and deployment processes?
  • Monitor system performance and reliability using tools like Prometheus, Grafana, Datadog, or CloudWatch?
  • Manage containerized applications using Docker and orchestration platforms like Kubernetes?
  • Implement and maintain security best practices, including IAM policies, secrets management, and vulnerability scanning?
  • Automate routine operational tasks through scripting (Python, Bash, or Go)?
  • Collaborate with development teams to improve deployment frequency and reduce lead time for changes?
  • Troubleshoot and resolve infrastructure and pipeline issues, participating in on-call rotations as needed?
  • Maintain documentation for infrastructure, processes, and runbooks?
  • Drive cost optimization initiatives across cloud resources
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience?
  • 3+ years of experience in DevOps, SRE, or cloud infrastructure roles?
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)?
  • Proficiency with containerization (Docker) and orchestration (Kubernetes)?
  • Experience with Infrastructure as Code tools (Terraform preferred)?
  • Strong scripting skills (Python, Bash, or similar)?
  • Experience with CI/CD tools and version control systems (Git)?
  • Solid understanding of networking, Linux systems administration, and security fundamentals3
Must Have Skills
  • Design, implement, and manage cloud infrastructure (AWS/Azure/GCP) using Infrastructure as Code (Terraform, CloudFormation, or Pulumi)?
  • Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps) to automate build, test, and deployment processes?
  • Monitor system performance and reliability using tools like Prometheus, Grafana, Datadog, or CloudWatch
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