Kafka：16,831 個職缺
瀏覽與 Kafka 相關的開放職缺。
Data Platform Engineer (m/w/d)
Operate and develop a data platform: resolve production incidents, automate provisioning, scaling, backups and failover, optimize query performance and storage efficiency, and define security best practices. Partners with developers on data access and shapes platform strategy.
Senior Software Engineer with Data Quality
Senior engineer on a Data Quality team spending ~70% of time investigating and fixing bad data in BigQuery at scale, plus building JVM backend remediation tooling (Kotlin/Java, Spring Boot) across GCP, Snowflake, Bigtable, and Apache Beam.
Data Engineer & Local LLM AI Agent Engineer
About 미리비트는 빅데이터 처리 기술을 기반으로 다양한 데이터 솔루션을 제공하는 전문 기업입니다. 데이터 엔지니어링과 로컬 LLM 기반 AI Agent 개발을 동시에 수행할 수 있는 인재를 찾고 있습니다. 데이터 파이프라인을 안정적으로 구축·운영하면서, GLM, Kimi 와 같은 로컬 모델을 활용해 해당 데이터 기반의 실질적인 AI Agent 시스템을 설계·개발·배포할 수 있는 분을…
Data Analytics Engineer
Data Analytics Engineer at CJ Olive Young (Korea's #1 health & beauty retailer) building and operating integrated data pipelines — designing data models, developing batch and streaming pipelines, standardizing company-wide metrics, and ensuring data quality/serving via API, DB, file, or message on GCP/AWS.
DevOps-инженер
On-site DevOps engineer in Moscow supporting delivery services built on unmanned/drone technology. Day-to-day work involves maintaining test environments, building CI/CD pipelines, and automating infrastructure with OpenShift, Kubernetes, Ansible, Jenkins, and the ELK/Zabbix/Grafana monitoring stack.
Аналитик DWH
DWH Analyst on a scalable data platform team that builds bank-wide maintenance metrics, analytics, and management reporting data products. Designs database architecture (DDL), writes data processing/loading scripts, researches integration sources, manages data supply contracts, and monitors data quality. Core stack: PostgreSQL, SQL, Kafka, ETL/ELT.
DevOps-инженер
DevOps engineer to deploy, configure, and maintain infrastructure based on Proxmox VE, Linux, Apache Kafka, PostgreSQL, and Elasticsearch for MTS Bank's digital financial services platform.
Senior Data Platform Engineer
Senior engineer building and operating Smartly.io's production data platform path for PostgreSQL publishing and CDC in Kubernetes. Owns governed data sharing, GitOps workflows for contracts/metadata, DataHub integration, and tooling for fast feedback on data product changes.
Senior .NET Developer
Senior back-end .NET developer role building scalable, event-driven backend services for an ASX-listed financial services firm. Day-to-day work centres on C#/.NET Core, ASP.NET Core REST/gRPC APIs, message brokers (Azure Service Bus, Kafka, RabbitMQ), and SQL/NoSQL data integration.
Senior Java Developer | Kafka & Programación Reactiva | 100% Remoto
Senior Java Developer building high-performance APIs, microservices, and event-driven systems using Kafka and reactive programming for a stable banking-sector project, fully remote within Spain.
Lead Java Developer
Lead Java developer building back-office and accounting infrastructure for securities trading (stocks, bonds, REPO) on a bank's cloud-native platform. Day-to-day work spans Java/Spring Boot microservices, Kafka, PostgreSQL, design and code reviews, and team leadership within an agile environment.
Data Scientist
Data Scientist role building and deploying ML models with Python (scikit-learn, pandas, XGBoost) focused on anomaly detection. Day-to-day work covers data preparation, feature engineering, querying Elasticsearch with SQL, and productionizing models via MLOps tooling on Docker, Kubernetes, and Linux.
Ведущий инженер по сопровождению (1С)
Lead support engineer for 1C enterprise platforms at Sberbank in Moscow: configures client-side 1C components, deploys and maintains Linux/Docker/Kubernetes infrastructure, and supports PostgreSQL, Nginx, Kafka, and monitoring stacks (Grafana/Prometheus/Kibana) for the bank's digital services.
Go-разработчик (Команда разработки инструментов надёжности)
Go engineer for VK's reliability tools team building alerting and incident-management services, integrating observability stack (VictoriaMetrics, Grafana, Kafka/Redis Streams), and designing APIs for event/metric exchange within the company's in-house infrastructure.