Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the future of logistics technology by designing and automating scalable cloud infrastructure, and you'll thrive here if you're passionate about driving reliability and championing Infrastructure as Code within a collaborative, performance-driven environment. You'll gain invaluable experience enhancing mission-critical systems and leading initiatives that impact global supply chain operations.
Quick Overview
Job Description
GXO Logistics is seeking a Senior DevOps Engineer to drive the reliability and scalability of our transportation and warehousing platforms. You will design and automate cloud infrastructure, build and maintain CI/CD pipelines, and improve observability for mission-critical logistics systems. Partnering with software, data and operations teams, you'll champion Infrastructure as Code, security best practices and high-availability architectures. In GXO's performance-driven, collaborative culture, you'll leverage automation, robotics and data tools to optimize supply chain solutions and lead initiatives that enhance system resilience, delivery speed and operational safety worldwide.
Responsibilities
- Design, automate and maintain secure, scalable cloud infrastructure for logistics platforms
- Build, improve and support CI/CD pipelines for frequent, reliable software delivery
- Implement and optimize observability, including monitoring, logging and alerting for critical systems
- Champion Infrastructure as Code and configuration management across production environments
- Collaborate with software, data and operations teams to improve reliability, performance and incident response
- Harden security for cloud, containers and data, following best practices and compliance requirements
- Troubleshoot and resolve production issues, driving root-cause analysis and long-term fixes
- Lead continuous improvement initiatives that enhance deployment speed, system resilience and operational safety
Required Skills
- AWS or Azure cloud services
- Kubernetes and containerization (Docker)
- CI/CD pipelines (Jenkins, Git
- Hub Actions, Git
- Lab CI, or similar)
- Infrastructure as Code (Terraform, Cloud
- Formation, or similar)
- Linux administration and shell scripting
- Monitoring and observability (Prometheus, Grafana, ELK, Datadog, or similar)
- Configuration management (Ansible, Chef, or Puppet)
- Scripting languages (Python, Bash, or Power
- Shell)
- Security best practices for cloud and containers
- Version control and Git workflows
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