Description
SberData is responsible for developing the data platform at Sber. We manage over 230 Petabytes of data and about a hundred products and services for customers. We create our own platform builds as part of vendor import substitution and actively collaborate with all Sber business units to solve their business tasks: our users have already created over 6,500 data marts. SberData implements best practices for data management, reduces data storage costs, increases data retrieval speed, and implements AI technologies. Our solutions are used by over 30 thousand people.
Responsibilities
Tasks:
- designing, configuring, and supporting CI/CD pipelines for a microservices application
- searching for, testing, and implementing new solutions to help optimize current processes and improve the quality of the provided product
- designing and automating the process of deploying and configuring environments
- automating application deployment processes, supporting the continuous delivery pipeline
- administering and maintaining development, test, and production environments
- configuring and analyzing monitoring results, developing proposals to improve system performance and reliability.
Requirements
- 3+ years of experience in a DevOps / SRE / Platform Engineer role
- confident knowledge of OpenShift with 1.5+ years of practical experience OR deep experience with Kubernetes in production
- practical experience in administering and optimizing PostgreSQL in high-load scenarios
- confident knowledge of Linux at an administrator level + deep understanding of the network model (TCP/IP, iptables/nftables, network troubleshooting in clusters)
- experience in writing and maintaining Infrastructure as Code
- experience in building and supporting CI/CD processes for microservices applications
- ability to configure and maintain monitoring and alerting systems: Prometheus + Grafana / VictoriaMetrics / Mimir
- experience working with logs: EFK / OpenSearch + Grafana, parsing and searching large volumes of logs.
Will be a plus:
- experience with the Hadoop ecosystem (HDFS) and Apache Spark for 1–1.5 years: cluster configuration, job tuning, working with Spark on Kubernetes / Spark Operator.
Conditions
We offer:
- comfortable modern office: Danilovsky Fort Business Center, near Tulskaya metro station, Verkhniye Kotly
- the ability to choose a convenient schedule – office/hybrid
- annual salary review, annual bonus
- corporate gym and recreation areas
- more than 400 educational programs from SberUniversity for professional and career development
- extended voluntary health insurance, preferential insurance for family, and corporate pension program
- flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- free subscription to SberPrime+, discounts on products from partner companies
- referral bonus for recommending friends to join Sber's team.
