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Lead DevOps Engineer

Microsoft Azure, Azure Kubernetes Service, Helm, Kubernetes, Docker, Terraform, Bash, Ruby, Python
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Sorry, this position is no longer available

Our company is seeking a Lead DevOps Engineer for a remote position to optimize our Microsoft Azure infrastructure.

The role includes the responsibility of designing, implementing, and maintaining our Azure environment while ensuring maximum performance and security. The successful candidate will operate in synergy with our development and operations teams, deploying and managing cloud-based applications via Kubernetes, Docker, and Helm. Expertise in Terraform, Bash, Ruby, and Python will be critical to automating tasks and enhancing our processes.

Responsibilities
  • Design, implementation, and maintenance of our Microsoft Azure infrastructure for cloud-based applications
  • Deployment, management, and scaling of containerized applications through Kubernetes, Docker, and Helm
  • Task and process automation using Terraform, Bash, Ruby, and Python
  • Collaboration with development and operations teams for smooth deployment and operation of cloud-based applications
  • Ensuring high availability, performance, and security of the Azure environment
  • Development and maintenance of CI/CD pipelines for effective application deployment
  • Monitoring and troubleshooting Azure environment issues using Prometheus and Grafana
  • Leadership and mentorship for junior DevOps engineers in the team
Requirements
  • A minimum of 5 years' DevOps experience, specifically with Azure infrastructure
  • Evidence of leadership and management of developer teams resulting in successful project outcomes
  • Significant understanding and experience with Azure Kubernetes Service (AKS) and containerization technologies such as Docker and Kubernetes
  • Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, and CloudFormation
  • Proficiency in Shell scripting through Bash and knowledge of either Ruby or Python
  • Familiarity with GitOps and CI/CD pipelines
  • Experience with monitoring and logging tools like Prometheus and Grafana
  • Experience in Agile development methodologies
  • Excellent communication skills with an upper-intermediate level or higher in English
Nice to have
  • Background in machine learning and data analytics technologies
  • Proficiency in PowerShell scripting
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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