DevOps Lead Engineer

Requirements

• Bachelor's degree in Computer Science, IT, or related field (or equivalent experience).
• 3-5+ years of experience in DevOps, Cloud, or System Administration roles.
• Hands-on experience with:
• CI/CD tools: Azure DevOps, Jenkins, GitHub Actions, or similar.
• Cloud services: Azure (preferred), AWS, or GCP.
• IaC tools: Terraform, Ansible, or ARM Templates.
• Container orchestration: Kubernetes and Docker.
• Scripting: Python, PowerShell, or Bash.
• Strong knowledge of networking, Linux/Windows systems, and version control (Git).
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, or equivalent).
• Disclaimer

Benefits

Additional Information

Position Summary: We are seeking a skilled DevOps and Automation Lead Engineer to design, implement, and maintain CI/CD pipelines, automate infrastructure provisioning, and ensure reliable and scalable application deployments. The ideal candidate will have hands-on experience with cloud platforms, infrastructure as code (IaC), and automation tools to streamline development and operations processes. Location: Mumbai - India What will your job entail? Design, implement, and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Azure DevOps. Automate testing, security scans, and deployment workflows. Build and manage cloud infrastructure using Terraform, ARM Templates, or Ansible. Ensure environments are consistent, scalable, and reproducible. Deploy, manage, and optimize workloads in Azure/AWS/GCP. Work with Kubernetes (AKS/EKS/GKE) or Docker to orchestrate containerized applications. Develop scripts and automation workflows in Python, PowerShell, or Bash to improve operational efficiency. Implement observability solutions (Prometheus, Grafana, ELK, or Azure Monitor) for proactive monitoring and alerting. Integrate security practices into CI/CD pipelines (DevSecOps). Ensure compliance with governance and security policies. Collaboration & Continuous Improvement Work closely with cross-functional teams to troubleshoot deployment and infrastructure issues. Identify and implement opportunities to optimize performance, cost, and reliability.

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Company Intel

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