Description

The Cloud Infra platform is the foundation for all services of the SBER group of companies. We help create and develop digital services and applications for the entire ecosystem. Our team develops IaaS/PaaS (infrastructure/platform-as-a-service) services for managing physical (dedicated, baremetal, dedicated) servers and containerization clusters in the SBER cloud.

We believe that product quality is primarily determined by people. For this critical direction, to develop the platform and improve service quality, we are looking for an SRE engineer with a technical background who understands the construction of infrastructure services and has experience implementing infrastructure projects. We use advanced development practices and a modern technology stack, which opens opportunities for professional growth even for experienced specialists.

Responsibilities

• participate with the team in discussing project architecture;
• participate in the support and development of microservice infrastructure;
• develop automation for managing kubernetes and the surrounding infrastructure;
• develop automation for managing release supply chains;
• participate in the development process of kubernetes controllers;
• participate in the analysis, design, and implementation of the managed k8s solution architecture.

Requirements

• experience creating and administering Kubernetes clusters;
• experience writing automation with ansible/chef/puppet etc...;
• Linux administration experience;
• understanding the principles of virtualization/containerization;
• experience building and supporting fault-tolerant systems;
• knowledge of how modern networks work;
• experience with/building CI/CD;
• consider it essential to equip any service with monitoring and logging.

Additionally, it will be a plus if you:

• have development experience/can read golang code;
• understand what REST API, gRPC, WebSocket, HTTP are;
• can automate tests;
• experience with VictoriaMetrics + Grafana;
• experience with Keycloak;
• experience with serving/inference of ML-models;
• experience administering DBMS (PostgreSQL);
• experience debugging and profiling applications.
• Experience using GigaChat, Kandinsky, and similar products; skills in creating and using AI agents

Technologies and products used: kubernetes, crio, cilium, metallb, istio, vector, victoriametrics, coreos, gitlab, ansible, kubernetes-operators, postgres

Conditions

• Moscow, 2nd Yuzhnoportovy Proezd
• Hybrid after probationary period (1/4 home/office)