Software Engineer - Proprietary Trading Firm

We are a start-up proprietary trading firm building a high-performance engineering team in Bangalore. We are looking for a strong Software Engineer to build the systems that power our trading desk, research platform, and operational infrastructure across digital asset and alternative markets.

In this role, you will work on real-time data pipelines, trading system components, internal analytics tools, and AI-assisted research platforms. You will write production code that directly impacts trading performance and decision-making, collaborating closely with quantitative researchers, analysts, and leadership.

This is a high-ownership engineering role at an early-stage firm — you will have significant influence over technology choices, architecture decisions, and the engineering culture as the team scales.

If you want to build systems where every millisecond and every design decision matters, in a domain where your code directly touches live markets, this is the role.

• Design, build, and maintain real-time data ingestion pipelines for market data, on-chain metrics, and alternative data sources across multiple exchanges and protocols.
• Develop and improve internal trading tools, dashboards, and analytics platforms used by traders and researchers daily.
• Build and maintain API integrations with exchanges (REST, WebSocket, FIX), data providers, and third-party analytics platforms.
• Contribute to the development of AI-assisted research and decision-support tools, including signal generation pipelines and model serving infrastructure.
• Implement robust monitoring, alerting, and logging systems to ensure reliability and observability across trading-critical services.
• Write clean, tested, well-documented production code; participate in code reviews and contribute to engineering standards and best practices.

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• Collaborate with quantitative researchers to productionise models — translate research prototypes into performant, maintainable production systems.
• Support DevOps and infrastructure tasks — CI/CD pipelines, containerised deployments, cloud resource management (AWS/GCP).
• Troubleshoot and resolve production incidents in a 24/7 trading environment with appropriate urgency and follow-through.
• Contribute to system design and architecture decisions as the engineering team and product surface area expand.

• 1–4 years of professional software engineering experience with demonstrated ability to ship production systems.
• Strong proficiency in Python; working knowledge of at least one additional systems language (Go, Rust, C++, or Java) is a plus.
• Experience building and maintaining data pipelines, ETL workflows, or real-time streaming systems (Kafka, Redis Streams, or equivalent).
• Solid understanding of relational and non-relational databases (PostgreSQL, MongoDB, Redis, ClickHouse, or TimescaleDB).
• Familiarity with REST API design, WebSocket integrations, and asynchronous programming patterns.

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• Experience with cloud platforms (AWS or GCP), containerisation (Docker), and CI/CD tooling (GitHub Actions, GitLab CI, or equivalent).
• Strong fundamentals in data structures, algorithms, and system design.
• Self-directed problem solver who can own features end-to-end in a small, fast-moving team.
• Willingness to support on-call responsibilities for trading-critical systems.

• Experience in financial services, trading systems, or fintech — market data handling, order management, or execution systems.
• Familiarity with digital asset infrastructure — exchange APIs, blockchain RPC nodes, smart contract interactions, or wallet systems.
• Exposure to ML/AI engineering — model serving, feature stores, experiment tracking (MLflow, Weights & Biases).
• Experience with frontend development (React, Next.js) for internal dashboards and tools.

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• Knowledge of infrastructure-as-code (Terraform, Pulumi) and orchestration (Kubernetes).
• Contributions to open-source projects or a visible technical portfolio (GitHub, blog, talks).
• Computer Science, Engineering, or related degree from a recognised institution.

This role offers a structured path to relocation to Singapore or Dubai after a minimum of 12 months, subject to performance, skill development, and business requirements. Engineers who demonstrate ownership and growth will be among the first considered for international positions as the firm expands.

• High-ownership engineering at an early-stage prop trading firm — your architecture decisions will define the technology foundation as the firm scales internationally.
• Work on systems where performance, reliability, and correctness directly impact live trading outcomes — not vanity metrics.
• Exposure to institutional Digital assets infrastructure, AI/ML research systems, and real-time data engineering from day one.
• Small, high-calibre team with flat hierarchy — direct collaboration with founders, quant researchers, and senior traders.
• Competitive compensation with performance-linked incentives and a clear path to international relocation.