in a team working on a real-time big data platform. Development of real-time data processing pipelines, backend, and integrations in Java/Groovy, automation, and experiments with LLM.
Tasks:
- Develop and maintain real-time data processing pipelines
- Write backend and integrations in Java / Groovy
- Automate processes using Jenkins, Ansible, Groovy, Bash
- Work with Kafka, Spark, and Solr within Kubernetes
- Experiment with LLM: assist in implementing prompt engineering to accelerate data access and generate integrations
Requirements:
- Solid command of Java, Spring Boot
- Understanding of Kafka and Spark architecture
- Knowledge of principles for working with Jenkins, Bash, and Ansible scripts
- Readiness to master prompt engineering for effective work with models in the Big Data context
- Skills in working with generative AI models
Conditions:
- Comfortable modern office: BC Danilovskiy Fort, near m. Tulskaya, Verkhnie Kotly
- Work schedule — office for at least 6 months, then hybrid
- Annual salary review, annual bonus
- Corporate gym and relaxation areas
- Over 400 educational programs from SberUniversity for professional and career development
- Extended voluntary medical insurance, preferential insurance for family, and corporate pension program
- Flexible mortgage discount, equal to 1/3 of the Central Bank's key rate
- Prime subscription with the possibility of sharing with three close contacts
- Reward for recommending friends to the Sber team
Skills:
- Java
- Spring Boot
- Kafka
- Spark
- Solr
- Kubernetes
- Jenkins
- Ansible
- Groovy
- Bash
- LLM
- Prompt Engineering
