Systems Operations Engineer

Job Description

This role requires someone who can actively design, implement, and maintain complex systems while ensuring their scalability, performance, and security.

• 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 cost-effectiveness.
• Implement best practices, conduct regular security assessments, and ensure compliance with relevant regulations to ensure cloud infrastructure security and DistroKid-owned 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.

• 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 infrastructure-as-code 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).

• Work from home
• 5 days a week work shift