Job description

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.

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