DevOps (offline)

We're looking for a DevOps Specialist that can be interested to join our Product company in Kharkiv office ?

GetAlert is the first AI powered camera that understands human behavior. GetAlert uses information from a multi-biometric engine together with proprietary AI algorithms to enable users to create personalized contextual alerts. In addition, GetAlert is the only security camera providing natural language voice and text search for events within a stored video feed.

We are looking for a DevOps Engineer to join our DevOps team, with security awareness, strong cloud (AWS) experience, microservices (Kubernetes), CI/CD processes and cloud-operating and monitoring knowledge.

In this position, you will work closely with our R&D group, to build a secure and robust system. You will build a complex monitoring system to visualize metrics regarding the media analysis and the system pipelines, build a scaling, robus system distributed world-wide, and set the framework for rapidly evolving media-processing and AI-analyzing scalable cloud system.


Job Requirements

Deep technical knowledge of AWS including: EC2, VPC, Route53, IAM, S3, RDS, EKS, EFS, ElasticSearch, Elasticash
Kubernetes & Helm
Elastic search and Elastic-based monitoring, including alerts and dashboards
MySQL, MongoDB, Reddis, RabbitMQ
CI/CD (Azure DevOps or similar)
IaaS(terraform or similar)
ConfigManagment(Ansible or similar)
Security best practice on AWS & Kubernetes – an advantage
Bash or Python scripting
Monitoring(Grafana, Prometheus, Alertmanager)

!!! IF some item is not matching - not a problem :)

About getalert.com

GetAlert is the world’s first cloud video monitoring technology truly powered by AI.

GetAlert provides intelligent security services based on proprietary computer vision and Artificial Intelligence technology that delivers meaningful alerts to homes and business.

GetAlert detects and analyses activities, classifying each event and reporting only those that matter. GetAlert’s proprietary algorithms extract 3D scene structures from 2D images, and can identify humans and classify their activities from every angle.

Company website:
http://www.getalert.com

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