Sr. DevOps Engineer
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- DockerBashAzureCI/CDTerraformAnsibleAzure DevOps
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- 6+ years of experience in DevOps, cloud infrastructure, or site reliability engineering roles.
- Strong hands-on experience with Microsoft Azure cloud services and multi-environment deployments.
- Proven expertise in CI/CD pipeline management using Azure DevOps or similar tools.
- Strong scripting skills in PowerShell, Bash, or similar automation languages.
- Solid experience with Infrastructure-as-Code tools such as Terraform, ARM templates, or Ansible.
- Good understanding of cloud networking concepts including VNETs, NSGs, VPNs, and hybrid architectures.
- Experience working with monitoring and observability tools such as Azure Monitor, New Relic, or equivalent.
- Familiarity with containers and Docker in microservices or distributed architectures.
- Strong understanding of security principles in cloud environments.
Responsibilities
- Support and optimize application infrastructure to ensure high performance, reliability, and scalability across cloud-based SaaS environments.
- Design, build, and maintain cloud infrastructure using Azure services, supporting both IaaS, PaaS, and emerging serverless architectures.
- Develop and manage CI/CD pipelines to ensure efficient, secure, and reliable software delivery across environments.
- Automate system administration tasks including provisioning, configuration, monitoring, maintenance, and disaster recovery processes.
- Implement Infrastructure-as-Code solutions using tools such as Terraform to improve scalability and repeatability.
- Monitor system performance, identify bottlenecks, and resolve OS, network, or infrastructure-level issues.
- Drive automation and tooling for security, compliance, auditing, and resource optimization across deployments.
- Collaborate with engineering teams to troubleshoot complex issues and guide best practices for reliability and scalability.
- Define and track operational KPIs to measure system health, performance, and engineering efficiency.
- Support cloud networking configurations including VNETs, load balancing, routing, and security groups.
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