Platform Engineer - Python

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.