Senior Software Engineer - Trading
Overview
We are seeking a highly skilled Senior Software Engineer to join the team building a next‑generation trading and risk management platform. This is a hands-on engineering role where you will design, architect, and develop enterprise-grade distributed systems running on AWS.
The ideal candidate combines deep technical expertise in Python, strong AWS cloud architecture, and direct industry experience in commodities, energy trading, financial markets, or risk management systems. You will work closely with Satish and the broader engineering organization to deliver a high-performance, scalable platform supporting critical Front Office and Risk workflows.
Key Responsibilities
- Design and implement cloud-native, distributed systems supporting trading, P&L, risk, and market data workflows.
- Build scalable, fault-tolerant backend services and APIs using Python and modern AWS tooling.
- Translate complex trading, pricing, and risk requirements into technical designs and system components.
- Partner with architects, product managers, and domain stakeholders to align system capabilities with business needs.
- Contribute to platform architecture decisions including data models, service boundaries, event streams, and integration patterns.
- Drive best practices around testing, observability, security, and operational excellence.
- Mentor engineers and contribute to code reviews, design reviews, and technical standards.
Required Qualifications
- 10+ years of experience architecting and delivering enterprise-grade, distributed systems.
- Expert-level proficiency in Python, including APIs, asynchronous programming, microservices, and distributed system patterns.
- Extensive AWS experience, such as EKS/ECS, Lambda, SQS/SNS, API Gateway, IAM, cloud networking, monitoring, and logging.
- Mandatory domain experience in commodities or energy trading, financial markets, or risksystems-including at least one of:
- Front Office trading
- Risk & P&L systems
- Trade capture
- Market data platforms
- Risk management systems
- Deep experience building high-performance, real-time or near-real-time systems used in mission‑critical trading environments.
Preferred Qualifications
- Experience modernizing legacy trading or risk systems into cloud-native architectures.
- Knowledge of event-driven architecture, streaming (Kafka/Kinesis), or high-throughput pricing pipelines.
- Familiarity with quantitative libraries or risk analytics frameworks.
- Background collaborating with traders, quants, risk managers, or market data teams.
