InCommodities · 1 day ago
Trading Platform Engineer
Austin, Texas Metropolitan Area
Full-time
Hybrid
Mid Level
3+ years expInCommodities is redefining how data and technology drive algorithmic energy trading. They are seeking a Trading Platform Engineer to design and build a production-grade Python framework that integrates with .NET trading services, focusing on developing trading algorithms and ensuring system reliability.
EnergyFinanceOil and Gas
Hiring Manager
Brooke Noble, SHRM-CP
Responsibilities
You design and build a production-grade Python framework that integrates with our .NET trading services via REST and gRPC APIs, supporting real-time data, execution logic, and backtesting
You develop reusable libraries for pricing, risk calculations, backtesting, and execution strategies that scale across teams
You build and maintain trading algorithms using the framework you’ve created, working closely with quants and traders to turn ideas into production code
You ensure reliability through testing, monitoring, robust error handling, and failover mechanisms for continuous trading operations
You collaborate with platform engineers to define service contracts, data schemas, and integration patterns across Python and .NET
You build in monitoring and data quality checks to detect and resolve issues before they hit PnL
You document APIs, frameworks, and integration patterns so others can build fast and build right
You learn quantitative finance and gas trading concepts to understand the market context behind the code
Qualification
Required
You hold a BS or MS in Computer Science, Engineering, Mathematics, Physics, or a similar quantitative field
You bring 3+ years of experience building production systems in Python, with a strong grasp of software architecture and clean code
You have experience designing APIs, frameworks, or client libraries that other developers rely on
You're comfortable working with REST and/or gRPC, including authentication, async patterns, retries, and error handling
You work with modern engineering practices like testing, code reviews, CI/CD, and version control
You're confident working with SQL databases and care about data integrity and performance
You've used Python data and numerical libraries (pandas, numpy) and are comfortable with time-series data
You're curious about quantitative finance and trading, and motivated to learn pricing, risk, and market mechanics
You're located in Stamford, CT, Austin, TX, or willing to relocate
Preferred
Bonus points if you've worked with algorithmic trading frameworks, real-time or event-driven systems, or have exposure to .NET-based platforms or quantitative modeling
Benefits
Flexible working hours and hybrid work schedule
Medical, Dental, Vision, STD, LTD, Life insurance, all with employer contributions
401k with employer matching
Parental leave including paid and unpaid options
Generous PTO policy and paid holidays
Monthly Door Dash allowance and snacks and drinks at the office
Internet and optional cellphone reimbursement
Access to office gym (Austin location)
Company
InCommodities
InCommodities offers renewable energy, power & gas, intraday trader, and finance services.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Goldman Sachs
2021-07-08Series Unknown
Recent News
Energy-Storage.News
2025-11-30
2025-09-04
2025-08-21
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