java developer in trading platforms

The team develops, enhances, and supports high-performance trading platforms and messaging solutions for critical trading and client-facing workflows across financial markets. Its project modernizes Java-based trading applications using cloud, containerization, and DevOps technologies, with a focus on scalability, reliability, performance, and operational stability.

• Design, develop, and maintain high-performance Java applications and messaging solutions
• Build scalable, event-driven components using Kafka and RabbitMQ
• Develop and deploy containerized applications on Azure/AKS using Helm and Terraform
• Implement and improve CI/CD and DevOps practices for reliable and efficient delivery
• Tune performance, troubleshoot, and optimize high-throughput applications
• Monitor production systems, investigate incidents, and ensure reliability, security, and operational stability
• Collaborate with development, DevOps, and business teams on solution design and end-to-end delivery

• 7+ Years of professional software development experience
• Strong hands-on expertise in Java and enterprise application development using Spring Boot and Spring Security
• Strong experience with high-performance messaging applications, Apache Kafka, RabbitMQ, messaging patterns, and performance considerations
• Strong experience with Microsoft Azure, AKS, and containerized application environments
• Hands-on experience with DevOps practices and CI/CD, including Helm and Terraform for deployment and infrastructure management
• Strong knowledge of SQL and PostgreSQL, particularly within data-intensive applications
• Experience with distributed caching and in-memory data technologies, including Apache Ignite and Hazelcast
• Proven experience with performance analysis, troubleshooting, and tuning, particularly for high-throughput and messaging-intensive applications
• Будет плюсом: C++20, exchange connectivity, smart order routing, execution algorithms, low-latency optimization techniques including lock-free data structures, DPDK or Solarflare, cache-aware design and NUMA tuning, perf, Intel VTune, flame graphs, Google Benchmark, hardware awareness including CPU caches, branch prediction, memory hierarchy and NICs, financial messaging and exchange protocols such as FIX, ITCH, OUCH or native exchange APIs, building or integrating MCP servers, AI tooling for software engineering and developer workflows, monitoring, observability and network analysis tools such as Corvil, Geneos and PCAP analysis

• Условий в вакансии нет