Senior DevOps Engineer Linux System

Responsibilities

• Manage and optimize cloud infrastructure across AWS and Azure environments to ensure high performance, scalability, and reliability
• Design, implement, and maintain CI/CD pipelines to enable seamless build, testing, and deployment processes
• Develop and manage Infrastructure as Code (IaC) using tools such as Terraform and/or CloudFormation
• Monitor system health, performance, and availability using modern observability and monitoring solutions
• Implement DevSecOps best practices to ensure secure and compliant infrastructure and deployment workflows
• Identify and execute cost optimization strategies across existing and new cloud infrastructure
• Collaborate with engineering teams to enhance deployment processes, automation, and environment consistency
• Utilize modern and AI-assisted tools to improve operational efficiency, automation, and issue resolution
• Continuously assess and adopt new tools, technologies, and best practices to improve DevOps maturity
  
  

• Strong expertise in Linux systems, including troubleshooting, process management, and shell scripting
• Proficiency in scripting and automation using languages such as Python or similar
• Solid understanding of networking and cloud security concepts, including VPCs, subnets, routing, security groups, and access control mechanisms
• Hands-on experience with version control systems (Git), including branching strategies and repository management
• Working knowledge of database systems, including deployment, performance tuning, and backup/recovery (e.g., MongoDB, MySQL, PostgreSQL)
• Experience with CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps
• Practical experience with cloud platforms (AWS and/or Azure)
• Proficiency in Docker for containerization and deployment of applications
• Experience with Infrastructure as Code tools such as Terraform and/or CloudFormation
• Hands-on experience with monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Application Insights, Datadog, Prometheus, or similar
• Strong understanding of DevSecOps principles and secure infrastructure practices
• Familiarity with AI-assisted DevOps tools such as GitHub Copilot, Harness, or similar
  
  

• Cloud certifications such as AWS Certified DevOps Engineer or equivalent
• Experience with Kubernetes for container orchestration
• Exposure to MLOps practices and tools