DevOps Engineer

AI overview

Join a dynamic team tackling complex AI search challenges while automating deployments and managing cloud infrastructure for a pioneering platform.

We are:

Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges.

After you apply, check out Goodie AI to learn even more!

We’re looking for:

We're looking for a DevOps Engineer to join our team and help bridge the gap between development and operations. In this role, you'll be responsible for automating deployment processes, managing cloud infrastructure, and ensuring our applications run smoothly and securely at scale. You'll work closely with development teams to implement CI/CD pipelines and maintain reliable, high-performance systems.

You’ll do:

Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions
Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform
Automate infrastructure provisioning and configuration using Infrastructure as Code tools (Terraform, CloudFormation, Ansible)
Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability
Collaborate with development teams to improve deployment processes and system reliability
Implement and maintain security best practices across all environments
Manage containerized applications using Docker and Kubernetes
Maintain documentation for systems, processes, and procedures

You are:

3-5 years of experience in DevOps, systems administration, or related field
Strong experience with cloud platforms (AWS, Azure, or GCP)
Proficiency with containerization technologies (Docker, Kubernetes)
Experience with Infrastructure as Code tools (Terraform, CloudFormation, or Ansible)
Solid understanding of CI/CD principles and tools
Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, or similar)
Proficiency in scripting languages (Python, Bash, or PowerShell)
Knowledge of version control systems (Git)
Understanding of networking, security principles, and Linux/Unix systems
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Strong problem-solving skills and ability to work in a collaborative environment