Senior Java Developer with Azure

Project description

Join a global Agency Trading technology team responsible for developing, enhancing, and supporting high-performance trading platforms that enable critical trading and client-facing workflows across financial markets. The team operates in an international, fast-paced environment, working closely with technology and business stakeholders across different regions. The project focuses on the continued development and modernization of Java-based trading applications and high-performance messaging solutions, leveraging cloud, containerization, and modern DevOps technologies. The platforms are designed with a strong emphasis on scalability, reliability, performance, and operational stability to support demanding trading workloads. As part of the global team, you will contribute to the evolution of critical trading platforms, helping improve their architecture, performance, automation, and deployment capabilities while ensuring they remain robust and maintainable in a complex production environment.

Responsibilities

• - 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, leveraging Helm and Terraform. - Implement and improve CI/CD and DevOps practices to support reliable and efficient delivery. - Perform performance tuning, troubleshooting, and optimization of 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.

SKILLS

Must have

• - 7+ years of professional software development experience, with strong hands-on expertise in Java and enterprise application development using Spring Boot and Spring Security. - Strong experience with high-performance messaging applications, including Apache Kafka and RabbitMQ, messaging patterns, and performance considerations. - Strong experience with Microsoft Azure, AKS (Azure Kubernetes Service), 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 performance tuning, particularly for high-throughput and messaging-intensive applications.

Nice to have

- Experience with C++20 is an advantage. - Previous experience with exchange connectivity, smart order routing, or execution algorithms. - Knowledge of low-latency optimization techniques, including lock-free data structures, kernel bypass technologies such as DPDK or Solarflare, cache-aware design, and NUMA tuning. - Experience with performance analysis and optimization tools, including perf, Intel VTune, flame graphs, and micro-benchmarking frameworks such as Google Benchmark. - Strong hardware awareness, including an understanding of CPU caches, branch prediction, memory hierarchy, network interface cards (NICs), and their impact on software design and performance. - Experience with financial messaging and exchange protocols, such as FIX, ITCH, OUCH, or native exchange APIs. - Experience building or integrating MCP servers, or using AI tooling to automate software engineering and developer workflows. - Familiarity with monitoring, observability, and network analysis tools, such as Corvil, Geneos, and PCAP analysis.