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beyond border consultants

Senior DevOps Engineer (Linux system)

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  • Posted 12 hours ago
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Job Description

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

Technical Skills

  • 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

Nice to Have

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

Skills: azure,infrastructure,ci,automation,aws,linux,cloud,cd,github,code,devops

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Job ID: 146835001

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