The world's leading retailers trust and rely on Everseen's Visual AI™ solutions to improve their bottom line by minimizing shrink, streamlining operations via hyper automation, and delivering a better customer experience.
Everseen’s Visual AI™ is a comprehensive process aware platform that delivers Checkout Intelligence, Shelf Intelligence, Supply Chain Intelligence, Car Lot Intelligence, Production Line Intelligence, and Generic Process Automation Applications, transforming how businesses see and solve their most costly problems. The company’s ground-breaking AI technology processes over 200 years of video footage every day and protects ~$500B worth of assets.
Everseen has earned multiple industry accolades, including 5 consecutive years as Gartner’s Top Pick for Retail Technology Innovation, Deloitte’s Tech Fast 50 winner, and Google & Deloitte’s new Tech award winner. Everseen is headquartered in Ireland, with its US Head office in Miami as well as R&D Centres in Timisoara, Romania; Belgrade, Serbia; Barcelona, Spain and India. For more information visit www.everseen.com.
Responsibilities:
- 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 deploy process for edge devices, propose and develop procedures to be used by all affected parties.
- Keeping the documentation fresh (articles, diagrams, data flows, etc.)
- Collaborate on technical architecture and system design.
- Communicate on daily basis with SysOps teams responsible for production maintenance.
- 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.
Key Qualifications:
- Team lead experience
- Soft skills experience
- Strong background with the Linux ecosystem.
- Good understanding of computer networks, VPN, Firewall, AD, etc.
- Production experience with Docker and Kubernetes.
- Bachelor’s (or higher) degree in engineering.
- 3+ years on a leadership position.
- Strong communication skills.
- Experience in working with clients.
- Experience with any automation tool (Ansible, Chef, Puppet, Terraform, etc.).
- Experience with CI/CD tools (Jenkins, GitLab CI).
- Excellent verbal, and written English.
- Experience with any major cloud infrastructure provider (AWS, Azure, Google Cloud).