IT B2C is the largest ecosystem in Sber. We are over 8,000 people in 18 cities across Russia. We are developing and improving retail solutions, helping to make the Bank's services more accessible, secure, and convenient.
We are the AmazMe Team – we develop and implement a recommendation systems platform
The team's task is to achieve a tenfold reduction in the efforts of Sber's entire ecosystem in personalizing the customer experience on any surfaces and services using our recommendation systems.
Responsibilities
- support and development of CI/CD pipelines in Jenkins
- application containerization, development of microservice architecture
- participation in the setup and administration of Kubernetes clusters (40+ clusters in the company)
- implementation of application delivery using the GitOps model with ArgoCD
- chart management: creation, updating, and deployment of Helm charts
- basic tasks on Linux servers
- monitoring of basic metrics
- interaction with the development team
Requirements
- understanding of Computer Science fundamentals
- basic Linux knowledge
- understanding of network architecture (DNS, HTTP/HTTPS, ports)
- practical experience with Docker
- basic knowledge of Kubernetes (must)
- initial skills in working with Jenkins
- familiarity with Helm
- understanding of GitOps and basic familiarity with ArgoCD
- skills in working with generative AI models;
- experience in creating AI agents and using them in work will be an advantage
- experience using GigaChat, Kandinsky, and analogues in products, skills in creating and using AI agents
- instrumental proficiency in AI for analysis, generation, and automation
Conditions
- annual salary review and annual bonus
- extended voluntary medical insurance and preferential insurance for family
- Sber's unique training system for professional and career development
- favorable mortgage for employees
- Prime subscription with the possibility of shared use for three close individuals
- reward for recommending friends to the Sber team
- corporate pension program.
