B2spin

Senior Java Enginner (Payment team)

B2spin
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6 months ago
Remote, UkraineSenior

Responsibilities

  • Write well-designed, testable, and scalable Java code.
  • Participate in the full development cycle from sprint planning through release cycles.
  • Coordinate development and cooperation between development teams and product owners.
  • Build and maintain high-load payment systems operating at massive scale.
  • Troubleshoot production issues using metrics, alerts, monitoring, and profiling.
  • Contribute to scaling and automation initiatives.

Requirements

  • Strong Java Core expertise with Java 8+ and a proven enterprise engineering track record.
  • Deep expertise in multithreading and high-load systems architecture.
  • Solid SQL knowledge and database optimization skills.
  • Strong experience with Docker and the containerization ecosystem.
  • Strong experience troubleshooting production systems with monitoring tools.
  • Strong spoken and written English communication skills.
  • Bonus experience includes ClickHouse, GCP, Kafka, Elasticsearch, Ebean, Protobuf, InfluxDB, Grafana, Google Services integration, SPA and modern mobile/web technologies, or fintech.

Benefits

  • Fully remote flexibility.
  • Generous leave.
  • Opportunities for professional growth.
  • Work with modern technologies including Java, Spring Boot, GCP, and Kubernetes in an AI-driven engineering environment.

Tech Stack

Apache KafkaClickHouseDockerElasticsearchFlywayGoogle Cloud PlatformGrafanaInfluxDBJavaJenkinsKubernetesMavenPostgreSQLSpring BootSQL

Categories

B2spin

About B2spin

201-500 employees

B2spin is a privately held services firm that provides customer support operations, CRM consulting, and UX/UI product design to improve engagement and retention for digital businesses, particularly in gaming. The company also works on catalog and lobby curation for online casino experiences. Founded in 2022 and headquartered in Gibraltar, it partners with clients on a services and consulting model spanning player experience, support, and data‑informed product decisions.

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