onsite
DevOps Engineer III, AI & Business Automation - TrueNAS
Devops Engineer
Senior DevOps Engineer focused on building and scaling AI‑driven automation pipelines, leveraging Kubernetes, Docker, Terraform, AWS, and Python to deliver reliable, high‑performance infrastructure for enterprise storage solutions.
About the role
Key Responsibilities
- Design, implement, and maintain scalable Kubernetes clusters and Docker container workflows for AI and automation services.
- Develop and manage infrastructure-as-code using Terraform and AWS services to ensure repeatable, secure deployments.
- Build CI/CD pipelines (GitLab, Jenkins, or similar) that automate testing, security scanning, and release processes for machine‑learning and business‑automation workloads.
- Collaborate with software, data science, and security teams to integrate monitoring, logging, and alerting (Prometheus, Grafana, ELK) for proactive system reliability.
- Automate routine operational tasks with Python scripts and configuration management tools such as Ansible.
- Participate in on‑call rotation, incident response, and post‑mortem analysis to continuously improve system resilience.
Requirements
- 5+ years of hands‑on DevOps experience in cloud environments, preferably AWS.
- Strong expertise with Kubernetes, Docker, and Terraform for production‑grade deployments.
- Proficiency in Python for automation and scripting tasks.
- Experience building and maintaining CI/CD pipelines and implementing monitoring/observability solutions.
- Deep knowledge of Linux systems, networking, and security best practices.
Skills
kubernetesdockerterraformawspythoncicdlinux