Kubernetes, AWS, CI/CD, Linux, VMWare ESXi, Helm Kubernetes, Docker Compose, Docker, Jenkins Pipeline
Bash-scripting, SonarQube, Python, Nginx, ELK Stack, Apache Ignite, Apache Cassandra, Apache Kafka, PostgreSQL
— Clarification of requirements to environments, meetings with clients and supportive departments
— Prepare environment architecture diagrams
— CI/CD pipeline tweaks
— Preparation of product releases
— Deployment and management of AWS EKS cluster
— Setup of on-prem Kubernetes cluster
— Docker, docker-compose implementation
— Investigations, PoC of using new technologies
— Sharing knowledge and common practices over the teams
Luxoft team is developing a family of condition-based and predictive health management products that uses various online and offline data sources to provide preventive intervention recommendations based on grid asset condition, probability of failure, criticality and risk assessments. Data lake collects telemetrics data, makes clearance, manages archives. Rich UI to visualize results of analysis and diagnostics, prognostics, including 3D representation, builds prognosis on assets health and performance. Offline data is gathered via hybrid mobile application and through external connectors.
We are working with BigData scale and using latest technologies like Docker and Kubernetes, AWS, Java 11, SpringBoot 2, Spring Clould, Kafka, Ignite, Cassandra, PostgreSQL, Jupyter, Angular 10.
Our team is distributed between Ukraine and France (client), with a core team based in Dnipro.
Opportunities: participate in multi-year project for one of the biggest companies in the World and contribute to the platform that will change work experience and results of energy grid engineers across the globe.