Senior Engineer C++ in investment banking

Link Group operates in the financial sector with a strong AI-oriented culture. The company focuses on practical use of artificial intelligence to improve daily work, automate repetitive tasks, and enhance operational efficiency.

• At least 6 years of commercial software engineering experience, ideally with systems processing real-time financial data.
• Very strong knowledge of modern C++ and experience creating performance-sensitive applications.
• Background in low-latency, distributed, or high-throughput environments.
• Experience working with market data feeds, exchange connectivity, or vendor data integrations.
• Understanding of network communication, including TCP, UDP, multicast, and related performance considerations.
• Familiarity with messaging or streaming technologies used in data distribution.
• Good understanding of financial market data concepts, instruments, identifiers, mappings, and data normalization.
• Strong knowledge of multithreading, memory management, concurrency, and system-level optimization.
• Practical Python skills for scripting, APIs, pipelines, integrations, or internal tools.
• Ability to design solutions used by many internal users or systems at scale.
• Responsible approach to AI-assisted development, including validation, testing, security awareness, and critical review of generated outputs.
• Good communication skills and ability to work with both technical and business stakeholders.

Nice to have:

• Experience with containerized or cloud-native environments.
• Knowledge of Docker, Kubernetes, or similar technologies.
• Familiarity with serialization formats used in high-performance systems.
• Previous exposure to equities, futures, FX, commodities, or other traded asset classes.
• Experience with monitoring, observability, and performance analysis tools.
• Java knowledge would be an additional advantage.

• Build and improve low-latency services responsible for receiving, processing, and distributing real-time market data.
• Develop connectivity components for exchange feeds and third-party data providers.
• Work on performance optimization, system stability, scalability, and fault tolerance.
• Create tools and mechanisms for data checks, monitoring, alerting, and quality control.
• Support integration with internal systems through APIs, services, and data pipelines.
• Use Python where appropriate for automation, integrations, tooling, and supporting workflows.
• Cooperate with engineering, infrastructure, DevOps, and business-facing teams to deliver reliable production solutions.
• Investigate production issues, identify root causes, and implement long-term improvements.
• Participate in technical design discussions and help shape standards for a shared data platform.