• Lead the development and delivery of full-stack applications using Python and TypeScript technologies. • Design and implement AI-powered features such as LLM integrations, RAG pipelines, and AI agents. • Build, scale, and maintain APIs, backend services, and distributed systems. • Make technical decisions related to architecture, frameworks, cloud infrastructure, and AI model usage. • Ensure application performance, scalability, reliability, and security across systems. • Manage and support cloud-based environments such as AWS, Azure, or GCP. • Collaborate with product, design, and engineering teams to deliver innovative solutions. • Mentor developers and promote engineering best practices, code quality, and technical excellence. • Guide the team in using AI tools and modern workflows to improve productivity and delivery speed. • Troubleshoot complex technical issues and drive continuous improvement initiatives.

• Develop and maintain full-stack web applications using Python and TypeScript frameworks. • Build and integrate AI-powered features such as LLMs, RAG pipelines, and AI agents. • Design, develop, and maintain APIs and backend services. • Integrate AI APIs and third-party services into production systems. • Collaborate with product and design teams to deliver new features and enhancements. • Transform prototypes and concepts into scalable, production-ready solutions. • Ensure application performance, scalability, security, and clean architecture practices. • Utilize AI tools and modern development workflows to improve productivity and delivery speed. • Troubleshoot, debug, and optimize applications across frontend and backend environments. • Contribute to continuous improvement of development processes and technical standards.

• Lead technical design discussions to build and operate elastic, secure microservices using AWS serverless architectures (Lambda, API Gateway). • Design and maintain robust Machine Learning and Data Analytics pipelines, utilizing Apache Kafka or similar technologies for real-time data ingestion and transformation. • Develop REST and GraphQL services designed to interface with massive datasets, providing the backend power for a rich, data-heavy visual user interface. • Work within an Agile team to take features from initial design through to production deployment, monitoring, and iterative improvement. • Evangelize and implement best practices for code health, testing stability, maintainability, and overall system quality. • Partner with product and architecture teams to influence product direction and translate complex security requirements into reliable software solutions.

• Architect and build backend services that operate reliably under intense data and user load • Reduce system latency and optimize real‑time performance across the pricing pipeline • Collaborate closely with quantitative developers to integrate models and pricing logic • Design and maintain ingestion pipelines for multiple live data feeds • Implement robust testing and monitoring to ensure system resilience • Build internal tools that support trading, operations, and analytics teams • Contribute to technical strategy and long‑term platform evolution • Foster a culture of knowledge sharing and engineering excellence