Our obsession from day one has been and is to see the unseen.
Processes are making or breaking businesses at this very moment. The challenge is to know where, when, how, and by how much.
Everseen solves this with its proprietary AI sceenic.ai platform which can see processes in real-time and enables process shaping by influencing human behavior to achieve optimal performance.
The technology is a combination of advanced machine learning, computer vision, and neural networks driving Human Centric AI automation.
The company is headquartered in Ireland and it has several offices in the US, Europe and Asia. One of its R&D Centers is in Belgrade. Its clients include 5 out of 10 of the world’s largest retailers.
A DevOps engineer is essential in enabling a smooth delivery experience. The primary purpose of the DevOps engineer at Everseen is to set up and maintain the internal infrastructure needed for our research and development processes.
- Understand, analyze, and automate processes happening within our R&D teams.
- Conduct and design systems and system operations, while being mindful of performance requirements.
- Improve current CI/CD pipelines.
- Keeping the documentation fresh (articles, diagrams, data flows, etc.)
- Collaborate 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.
- Evaluates existing components or systems to determine new infrastructure requirements.
- Authoring knowledgebase articles and driving internal knowledge sharing.
- Strong experience with the Linux ecosystem.
- Good understanding of computer networks, VPN, Firewall, AD, etc.
- Experience with Docker and Kubernetes.
- Bachelor’s (or higher) degree in engineering.
- 2+ years of relevant work experience.
- Value up-to-date best practices over new technologies.
- Experience with any automation tool (Ansible, Chef, Puppet, Terraform, etc.).
- Experience with CI/CD tools (mainly Jenkins).
- Good verbal, and written English.
- Experience with any major cloud infrastructure provider (AWS, Azure, Google Cloud).
- A proven track record in programming (college level, open source projects, or a professional experience).
- Experience with database maintenance.
- Knowledge of virtualization environments (VirtualBox, KVM, etc.).