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DevOps with Multi cloud - AWS and Azure - Bangalore

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Onsite

DevOps with Multi cloud - AWS and Azure - Bangalore

Happiest Minds Technologies

DevOps with Multi cloud - AWS and Azure - Bangalore

Skills

DockerPythonDevOpsTesting & QAAmazon EC2AWS LambdaGitLabDatadogGrafanaAWSPrometheusGitHubKubernetesComplianceTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Hello!!!

Warm Greetings from Happiestminds Technologies,

Please find below JD and kindly revert with the below details and updated resume to [email protected]

  • Overall Experience in IT:
  • Relevant Exp in DevOps Exp:
  • Relevant Experience in Azure:
  • Relevant in Experience in AWS :
  • Relevant Experience in EC2:
  • Current Company:
  • Current CTC:
  • Expected CTC
  • Official Notice Period:
  • Last Working Date (If Serving Notice Period):
  • Current Location:
  • Interested in Bangalore Location:
  • Full-time Highest Education:

Role & Responsibilities

  • Design, implement, and maintain scalable, secure, and highly available AWS and Azure cloud infrastructure.
  • Manage and administer AWS services including EC2, VPC, S3, RDS, EBS, IAM, Lambda, CloudFront, EKS, ECS, ELB/ALB, and CloudFormation.
  • Manage Azure services including Storage Accounts, Azure AD, Key Vault, VMs, ACR, and AKS.
  • Design and implement Azure networking and security architectures, including VNet, Hub-and-Spoke, Azure Firewall, Application Gateway, WAF, NSGs, and IP/Port whitelisting.
  • Develop, maintain, and optimize CI/CD pipelines using GitLab CI/CD, GitHub Actions, and Azure DevOps YAML pipelines.
  • Automate infrastructure provisioning, application deployments, configuration management, and operational processes using Terraform, CloudFormation, Bicep, or equivalent IaC tools.
  • Implement and manage Docker containers and Kubernetes clusters, including AWS EKS and Azure AKS.
  • Develop automation scripts using Python, Bash, or Shell scripting to improve operational efficiency and reduce manual intervention.
  • Implement monitoring, logging, and observability solutions using CloudWatch, CloudTrail, Prometheus, Grafana, Datadog, or equivalent tools.
  • Integrate security and quality tools such as SonarQube, Trivy, TFScan, or equivalent solutions into CI/CD workflows.
  • Ensure cloud infrastructure and deployment processes follow DevOps, security, compliance, and release-management best practices.
  • Troubleshoot and resolve infrastructure, deployment, networking, security, and application-related issues across cloud environments.
  • Collaborate with development, QA, security, architecture, and operations teams to ensure smooth application delivery and production deployments.
  • Continuously evaluate and implement improvements in cloud infrastructure, automation, reliability, scalability, security, and deployment processes.

Preferred Candidate Profile

  • 58 years of hands-on DevOps experience with strong expertise in AWS and Azure cloud platforms.
  • Strong practical experience in AWS infrastructure and services, particularly EC2, VPC, S3, RDS, IAM, Lambda, CloudFront, EKS/ECS, ELB/ALB, and CloudFormation.
  • Strong hands-on experience with Azure, including AKS, ACR, VMs, Storage Accounts, Key Vault, Azure AD, and Azure networking.
  • Good understanding of Azure networking and security, including VNet, Hub-and-Spoke architecture, Azure Firewall, Application Gateway, WAF, NSGs, and IP/Port whitelisting.
  • Proven experience in designing and managing CI/CD pipelines using GitLab CI/CD, GitHub Actions, and Azure DevOps YAML.
  • Strong knowledge of Terraform and Infrastructure as Code, with exposure to CloudFormation, Azure Bicep, or equivalent technologies.
  • Hands-on expertise in Docker and Kubernetes, preferably with production experience in both EKS and AKS.
  • Strong scripting and automation skills using Python, Bash, or Shell.
  • Experience with monitoring, logging, and observability tools such as CloudWatch, CloudTrail, Prometheus, Grafana, or Datadog.
  • Good understanding of DevSecOps practices and experience integrating tools such as SonarQube, Trivy, TFScan, or equivalent security tools.
  • Strong understanding of cloud security, deployment automation, release management, and DevOps best practices.
  • Excellent troubleshooting, analytical, problem-solving, and communication skills.
  • Ability to work effectively in a cross-functional and collaborative environment.
  • AWS, Azure, or Kubernetes certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or CKA/CKAD would be an added advantage.

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