DATA CENTER ENGINEER
Engineering · IT Infrastructure
San Francisco Full-Time 5-9 Years
THE MISSION
We aren't automating scripts - we're deprecating the era of manual-heavy testing entirely. TestMu AI is building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.
Drive robust, scalable multi-cloud infrastructure to ensure seamless operations and performance across AWS and Azure.
THE PILLARS OF IMPACT
Administer and optimize hybrid cloud systems for stability and efficiency.
Ensure seamless integration and operation of AWS and Azure environments.
Implement Infrastructure-as-Code for streamlined deployment and management.
Establish and maintain reliable CI/CD pipelines.
️ 2. Automation & Monitoring (30%)
Automate system deployments using Docker, Kubernetes, Jenkins, and Ansible.
Implement monitoring solutions with Grafana and Prometheus.
Continuously ensure infrastructure health and performance.
Develop scripts in Bash and Python for automation and troubleshooting.
Enhance infrastructure reliability through proactive issue resolution.
MUST-HAVES - DO NOT APPLY UNLESS YOU HAVE THESE
You must have experience with hybrid and multi-cloud infrastructure across AWS and Azure.
You must have proficiency in designing and managing Infrastructure-as-Code (IaC).
You must have experience with CI/CD pipelines and tools such as Docker, Kubernetes, and Jenkins.
You must have proficiency in scripting languages like Bash and Python.
You must have experience with monitoring tools like Grafana and Prometheus.
THE BAR - WHAT YOU MUST PROVE
Infrastructure Expertise: Managed hybrid cloud systems across AWS and Azure efficiently for over five years.
Automation Skills: Implemented automated CI/CD pipelines using Jenkins, Docker, and Kubernetes.
Scripting Proficiency: Developed automation scripts in Bash and Python for complex tasks.
Monitoring Experience: Deployed Grafana and Prometheus for comprehensive infrastructure monitoring.