• Design, develop and maintain backend applications using Golang; • Define and evolve microservices architectures and distributed systems; • Provide technical guidance to the team on design decisions and best practices; • Implement and optimize integrations with AWS services; • Work on CI/CD pipelines and infrastructure automation; • Ensure code quality (testing, code reviews, coding standards); • Monitor, analyze and optimize cloud performance and costs; • Support cross-functional teams (product, DevOps, data); • Troubleshoot and resolve complex issues and critical incidents.

• Design and develop a high-performance and high-availability trading platform including order management, broker/exchange FIX gateways, processing high volumes of ticking data and post-trade processing; • Propose solutions to complex problems related to the event-driven system architecture; • Lead software design, code reviews, and technical meetings; • Performance Optimization: Continuously analyze and optimize the system's performance, latency, and throughput. Identify bottlenecks and implement enhancements to maintain a competitive edge in the fast-paced trading landscape; • Anomaly detection mechanisms, risks mitigation.

• Collaborate closely with leadership team and cross-functional partners • Take the lead on key initiatives, guiding projects from design through implementation • Help shape our technical systems, internal tools, and team culture • Balance pragmatism with care, aiming for scalable, maintainable solutions • Support and mentor teammates, fostering a collaborative and inclusive culture

• Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph • Build and maintain scalable, high-performance backend services using Python to support AI-driven features • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information • Architect and manage vector storage solutions (Pinecone, Weaviate) to ensure efficient similarity search and data retrieval • Integrate Large Language Models (LLMs) with existing APIs and third-party services to enhance agent capabilities • Work closely with product owners, data scientists, and fellow engineers to translate ambitious AI requirements into production-ready code