Software Engineer, Middle Office Systems - AI/ML
On-site · Bengaluru, Karnataka, India
Job Summary
Build and deliver equities trading services and execution components that directly influence trading performance and product innovation. Integrate generative AI capabilities into developer workflows and trading tools to automate code generation, testing, and operational support. Prototype and productionize AI-driven features and automation in close partnership with research, trading, and operations teams. Optimize system performance, scalability, and reliability through profiling, tuning, and capacity planning for low-latency environments. Lead testing, deployment, and observability efforts to ensure safe, auditable delivery of new features and rapid incident resolution. Mentor and coach junior engineers, elevate engineering standards, and contribute to the technical roadmap for equities technology. Drive cross-team projects to modernize execution infrastructure and build reusable platforms and developer tooling.
Required Qualifications
- Minimum of 3 years of professional experience in markets technology or trading technology
- Experience as an AI-first engineer, routinely applying AI-driven approaches to solve engineering and operational problems
- Hands-on experience building, maintaining, or supporting production trading systems, order management systems, or execution platforms
- Proven software development experience in Python, Java, and SQL on production projects
- Regular hands-on use of generative AI (GenAI) tools in day-to-day development, testing, or operational workflows
- Strong understanding of electronic equity market structure, trading workflows, and market data concepts
- Practical experience with real-time data processing, streaming APIs, or event-driven architectures
- Experience profiling, optimizing, and debugging performance-sensitive or low-latency systems
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field
- Strong verbal and written communication skills with demonstrated ability to collaborate with trading, research, and product teams
- Commitment to the highest ethical standards
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