Description

You will design, build, and maintain highly available infrastructure for Skan.ai deployments, ensuring scalability and reliability across cloud environments.

This role is on-site.

Responsibilities

• Manage and optimize AWS, Azure, or GCP cloud environments to support AI workloads.
• Implement and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI for continuous deployment.
• Automate operational tasks, system provisioning, and deployments using Terraform and Ansible.
• Monitor system performance and availability using Prometheus, Grafana, ELK, or Datadog.
• Troubleshoot complex production issues, perform root cause analysis, and ensure high availability through capacity planning and load testing.

Required Skills

• 6+ years of experience in Site Reliability Engineering, System Engineering, or DevOps roles.
• Proficiency in cloud platforms: AWS, Azure, or GCP.
• Strong scripting and programming skills in Python, Bash, or Shell.
• Experience with containerization and orchestration using Docker and Kubernetes.
• Hands-on experience with monitoring and logging tools: Prometheus, Grafana, ELK Stack, or Datadog.
• Experience with CI/CD tools: Jenkins, GitHub Actions, or GitLab CI.
• Knowledge of Linux/Unix systems administration, networking concepts, and security practices.

Preferred Skills

• Experience working with AI/ML platforms or data-driven applications.
• Exposure to process mining and process intelligence tools.
• Knowledge of SRE best practices (SLIs, SLOs, SLAs) and cloud certifications.

Key Skills

Education

Bachelor's degree