The world’s largest enterprises rely on Everseen’s AI-driven computer vision solutions to realize transformational outcomes at global scale. By delivering efficiencies throughout their entire value chains, we enable our customers to respond faster and with greater precision to market demands and day-to-day business requirements. For the largest retailers, this often means minimizing asset shrinkage, streamlining logistics and in-store operations as well as delivering a better customer experience.
At Everseen, we passionately believe that if you can see everything, you can fix anything. With innovation as our North Star, we are at the epicenter of a generational convergence of forces, such as AI, computer vision, edge, IoT, and 5G. We are uniquely able to maximize the combined potential to deliver solutions that unlock significant new business opportunities to drive radical value for our customers.
Our global DevOps team manages ocean of data flow that feeds Everseen's Computer Vision AI from thousands of stores containing hundreds of millions of products that leave stores daily across North America, Europe and Australia. If you are experienced with the below technologies, Everseen will offer you a place to continue to grow and to enjoy a next level experience within a team that won Google award for the best tech innovation in Ireland in 2020 and Deloitte award for the fastest growing company in Ireland in the period 2016-2020.
Responsibilities
Collaborate with more senior DevOps colleagues in order to:
- Understand, analyse, and automate processes happening within the DevOps department.
- Conduct and design systems and system operations, while being mindful of performance requirements.
- Improve current CI/CD pipelines.
- Keep the documentation fresh (articles, diagrams, data flows, etc.)
- Contribute on technical architecture and system design.
- Enable system data collections: log files, application stack traces, thread dumps, etc. and deploying monitoring and alerting mechanisms over those collections.
- Evaluate existing components or systems to determine new infrastructure requirements.
- Author knowledgebase articles and driving internal knowledge sharing.
Key Qualifications
- Solid background with the Linux ecosystem
- Understanding of computer networks, VPN, Firewall, AD, etc.
- Bachelor’s (or higher) degree in engineering
- Excellent verbal, and written English
- Experience on a similar position is the advantage
Advantage, but not compulsory:
- Production experience with Docker and Kubernetes
- Experience with any automation tool (Ansible, Chef, Puppet, Terraform, etc.).
- Experience with CI/CD tools (Jenkins, GitLab CI)
- Experience with any major cloud infrastructure provider (AWS, Azure, Google Cloud)
