TL;DR

DevOps Team Leader: Leading a team of DevOps engineers to improve and automate cloud and on-premises infrastructure for AI-focused enterprise software. With an accent on multi-cloud management, CI/CD infrastructure, and monitoring systems. Focus on scaling complex Kubernetes environments, optimizing cloud costs, and enhancing production telemetry and alerting.

What you will do

Lead a team of 3-4 DevOps engineers.
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and maintain CI infrastructure including GitLab CI and Jenkins.
Support production infrastructure across AWS, Azure, and GCP.
Automate on-premises lab infrastructure using Infrastructure as Code practices.
Develop and maintain monitoring, telemetry, alerting, and logging services.

Requirements

Experience leading a DevOps team of 3-4 engineers.
Hands-on experience with Docker and Kubernetes in production environments.
Strong Linux/Unix internals knowledge and troubleshooting skills.
Multi-cloud expertise with AWS and GCP for provisioning and cost optimization.
Experience with configuration management tools like Ansible, Chef, or Puppet.
Proficiency in Python programming and shell scripting.
Knowledge of SRE and monitoring methodologies, especially Prometheus.

Nice to have

Experience with CI/CD tools and frameworks.
Managing binary repositories (RPMs, Pypi, NPM).
Developing Ansible collections, roles, and modules.
Experience with GitLab and GitLab CI management.
Familiarity with Hashicorp tools: Terraform, Packer, Consul, Vault, Vagrant.
Automating configuration and deployment of on-premises lab hardware.