Zanskar
Platform Engineer - Python
Bengaluru, India
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 23 Sept 2026
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the posting
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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