DevOps/SRE

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🕒 April 2

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Selector

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔐 Security

🏢 Enterprise

💰 $28M Series A on 2022-03

Artificial Intelligence • Security • Enterprise

Selector is a leading company specializing in AIOps and network observability technology. By leveraging advanced AI and machine learning algorithms, Selector aims to eliminate downtime and enhance network resilience for the world's largest digital infrastructures. Its comprehensive platform includes solutions for analytics, synthetic monitoring, and device health analytics, providing operations teams with critical insights and automated incident management capabilities. The company’s offerings help reduce Mean Time to Repair (MTTR) and ticket volume, leading to improved system availability and productivity levels.

📋 Description

• Design, implement, and maintain infrastructure for platform using infrastructure as code (IaC) tools like Terraform or Ansible. • Automate software deployments and configuration management using tools like GitOps or Kubernetes. • Configure and manage monitoring tools to proactively identify and troubleshoot performance issues. • Implement incident response procedures to ensure rapid resolution of service disruptions. • Collaborate with the development team to integrate CI/CD pipelines for faster and more reliable deployments. • Stay up-to-date on the latest DevOps and AIOps trends and technologies. • Participate in code reviews and contribute to the overall code quality of the platform.

🎯 Requirements

• Bachelor’s degree or higher in a relevant field • Kubernetes operations understanding • Experience with multi-node kubernetes deployment in EKS, GKE, AKS and RKE2 • Expertise in infrastructure automation tools like Terraform, Ansible, or Chef. • Proficiency in scripting languages like Python, Bash, or PowerShell. • In-depth knowledge of Linux operating systems. • Excellent troubleshooting and problem-solving skills. • Strong communication and collaboration skills. • Ability to work independently and as part of a team.