The world’s leading retailers trust and rely on Our Client’s Visual AITM solutions to improve
their bottom line by minimizing shrink, streamlining operations via hyper automation, and
delivering a better customer experience.
Our Client’s Visual AITM 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.

Position mission
This position will be part of our engineering team that enables servicing our AI products with
our retail customer in thousands of stores. Key knowledge is Linux and Docker. Assisting in
deployments and quick troubleshooting.

Main responsibilities
• Manage, automate and maintain our services and applications running primarily on Linux
machines, across the enterprise or its units and departments.
• Conduct and design systems and system operations, while being mindful of performance
requirements, for automation of services and software delivery.
• Create, maintain, and run unit tests for both new and existing applications and services,
with a goal of delivering defect-free and well-tested solutions.
• Write and maintain system operations documentation (articles, diagrams, data flows etc.)
for new and existing applications and services.
• Keep up-to-date on best practices and new technologies.
• Rapid prototyping and presenting conceptual design and working system prototypes while
writing readable, extensible, testable code integrated with existing systems and services.
• Conduct, design and execute production staging and mass service deployment scenarios.
• Collaborate on technical architecture and system design.
• Analyze and collect data: log files, application stack traces, thread dumps etc.
• Reproduce and simulate application incidents to create debug reports and coordinate
delivery of application fixes.
• Evaluates existing components or systems to determine integration requirements and to
ensure the final solutions meet organizational needs
• Interact with cross-functional management on high profile technical operations while
providing clear feedback and leadership to support teams.

Successful candidature requirements
Excellent knowledge:
• Linux
• Docker building Docker images using dockerfiles
• Create compose files for docker-compose to bring up stack of docker containers
• Continuous Integration (Jenkins or similar)
• Debugging (sometimes live)
• Nginx
Critical to know:

• Quick to learn how to use 3rd party frameworks or code libraries
• Quick to learn how various pieces work in a system (ours)
• DevOps Skills (quick to replace a module, without much downtime)
• Determine integration requirements for an evolving system or a new one (at idea
stage)
• Quick software prototyping
• Assists deployers, configurators, TS, development when they get stuck
• Able to quickly put up a functioning system out of available code and libraries
• Ability to compare and present / select products (including software) available
on market that fits a particular purpose

Nice to have/it’s a plus – knowledge / experience of / in:
• Kubernetes
• Ansible (or similar automation tool)
• Packaging using Makefiles
• Use CI build systems (Jenkins/GitLab CI/etc)
• Centralized logging using Elastic ELK stack (or similar)
• Terraform
• Bash script
• Python
• Javascript
• Mysql & ElasticSearch
• REST, JSON, XML
• Artifactory
• Regex
• programming skills in any of the following languages is a plus (React, Go, Nodejs,
Scala, C++)
• Azure stack and tools