Systems Operations Engineer

This is a remote position.

Key Responsibilities:

• Design deploy and manage scalable and reliable cloud infrastructure on AWS ensuring high availability and disaster recovery.
  
• Architect manage and optimize Kubernetes clusters for deploying containerized applications including implementing best practices for scaling monitoring and securing the clusters.
  
• Develop automation scripts and tools using languages such as Python Bash or Terraform to streamline operations and reduce manual intervention.
  
• Put in place comprehensive monitoring solutions to track system performance identify bottlenecks and optimize resources for costeffectiveness.
  
• Implement best practices conduct regular security assessments and ensure compliance with relevant regulations to ensure cloud infrastructure security and DistroKidowned devices.
  
• Work closely with development teams for continuous integration/continuous deployment (CI/CD) pipeline troubleshoot issues and provide operational assistance.
  
• Monitor and optimize AWS resource usage and costs employ scaling policies and choose the appropriate services and configurations to meet performance needs economically.
  
• Develop and maintain disaster recovery plans leveraging AWS capabilities for backup and replication to ensure business continuity.
  
• Maintain systems processes and procedures documentation to ensure knowledge transfer and operational consistency.
  
• Provide technical leadership and mentorship to junior engineers fostering a culture of continuous learning and improvement.
  

Requirements

• 5 years of experience in systems operations focusing on cloud infrastructure and containerized environments.
  
• Proven experience with AWS services (EC2 S3 RDS IAM VPC etc.) and Kubernetes in production environments.
  
• Experience with infrastructureascode tools such as Terraform CloudFormation or Ansible.
  
• Strong knowledge of Linux/Unix systems and shell scripting.
  
• Proficiency in one or more programming languages (Python Go etc.).
  
• Experience with CI/CD tools like Jenkins Bitbucket or similar.
  
• Familiarity with monitoring tools (Prometheus Grafana CloudWatch) and logging solutions (Datadog ELK Fluentd).
  

Benefits

• Work from home
  
• 5 days a week work shift