The salary range of more than 5.2 thousand vacancies starts from 245 thousand rubles.

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technical support specialists and more than 8 thousand vacancies are for data analysts.

The top three cities by number of open positions were Moscow – more than 35 thousand vacancies, St. Petersburg – 8.6 thousand vacancies, and Sverdlovsk Oblast – 2.5 thousand vacancies.


Especially for Comnews, hh.ru romania whatsapp resourcehas prepared a selection of the 10 highest-paid vacancies in July in the IT sector:


Reksoft is looking for a 1C functional architect for the Business Applications Department. The candidate will need knowledge of the business area of ​​railway carriers, knowledge and understanding of the architecture and functionality of 1C:ERP/1C:UH, experience in automation in corporate customers using 1C solutions, experience working on a project as a functional architect or lead consultant (2 or more projects), skills in modeling processes in BPMN, EPC or IDEF0 notation, experience in writing technical specifications for development.

Remotely or in the office (Moscow, St. Petersburg, Novosibirsk)
2GIS is looking for a Senior Backend Engineer to join the Othello team. The candidate will need at least 5 years of experience in designing and developing backend services in any programming language, experience with relational and non-relational databases, and message brokers. Experience with Go, PostgreSQL, Kafka, Elasticsearch, Clickhouse, and Kubernetes will be a plus.


Remotely or Moscow
Mindbox is looking for a person for the position of Senior Python Developer. The candidate will need experience in solving complex problems with easy-to-support and understand code (OOP, SOLID, autotests), knowledge of Python, experience in industrial development in statically typed languages ​​C#/Java/Scala/Kotlin/C++, readiness to work with a cloud-native stack (Kubernetes, Infrastructure as Code, Prometheus, Vault, Grafana). It will be a plus if you already have experience with Delta Lake/Apache Hudi/Apache Iceberg/etc, building ETL/ELT on Spark and Airflow, creating, developing and supporting BigData, DataOps, MLOps solutions in production.