About Zanskar Research Zanskar Research is a quantitative proprietary trading firm headquartered in Bangalore, operating at the cutting edge of high-frequency and algorithmic trading across Indian and global markets. Our edge is technology - and we intend to keep it that way. Every microsecond counts, and the engineers who build here understand that deeply. Role Overview We are seeking a motivated Software Engineer with hands-on experience in Python to join the trading systems team. The role involves building and maintaining components of high-performance trading infrastructure - including risk calculators, health checkers, data pipelines, and internal dashboards. Work is at the intersection of finance and technology, where correctness, performance, and reliability are non-negotiable. This is a great opportunity for someone early in their career to grow rapidly while working on production-grade systems. Key Responsibilities • Contribute to core trading system components such as risk calculators, position trackers, and health checkers, under guidance from senior engineers. • Build and support data pipelines and workflow automation using Apache Airflow. • Develop backend services in Python for reliable trading operations. • Containerise services using Docker and support basic infrastructure/deployment tasks. • Build and maintain internal dashboards and tooling for operations and monitoring, using tools like Grafana. • Debug and resolve issues in development and production environments with support from the team. • Work closely with quants, traders, and senior engineers to understand requirements and implement clean solutions. • Write clean, testable, and well-documented code with attention to correctness. Required Skills & Experience Core Requirements • 2-4 years of industry or relevant experience in software engineering (internships/strong projects considered). • Good proficiency in Python. • Basic to intermediate experience with Docker for containerisation. • Exposure to Apache Airflow or similar workflow/orchestration tools (academic or professional). • Experience building dashboards and monitoring tooling, ideally with Grafana. • Some full-stack exposure - ability to build or contribute to simple internal web interfaces (React/Vue/similar + REST APIs). • Understanding of data structures, basic systems design, and writing reliable code. • Comfortable working in Linux/Unix environments and with command-line tooling. Good to Have • Any prior exposure to fintech, trading systems, or market-related applications. • Familiarity with messaging systems (Kafka, Redis, RabbitMQ) or time-series databases. • Basic understanding of networking fundamentals and monitoring/observability tools (Prometheus, ELK) alongside Grafana.