20d 4h ago
Lead Python Engineer
Luxoft·IT
📡Remote In-Country
|London, United Kingdomperformance_marketingci/cdpythonrust
Lead Python Engineer
Luxoft | IT
2 weeks agoRemote In-Country
Full Time
United Kingdom, London
Position:
Lead Python Engineer (Risk)
Company:
Luxoft
Location:
United Kingdom, London
Short Summary:
Our client, a global commodity trading company committed to innovation, is seeking a Senior Risk Engineer to join their engineering team. This role operates at the intersection of commodities risk, market data, and modern software delivery.
Responsibilities:
- Design, build, and maintain risk engineering systems across the full stack, focusing on commodities risk and market data pipelines.
- Take high-level, loosely defined requirements from trading and risk stakeholders and independently infer the detail needed to deliver correct, production-ready solutions.
- Contribute to multiple daily releases in a CI/CD environment — writing code that is testable, observable, and safe to ship continuously.
- Work within and help evolve cloud-native, engineering-led platforms, applying modern infrastructure and deployment practices.
- Collaborate closely with quants, traders, and risk managers to ensure systems accurately reflect market and risk realities.
- Participate in design reviews, code reviews, and architectural decisions with a pragmatic, delivery-focused mindset.
- Identify and address technical debt without being asked.
Requirement:
- Solid understanding of commodities markets — price risk, mark-to-market, curves, and market data flows.
- Experience building or maintaining systems that consume and process market data at scale.
- Proficient Python practitioner — you write clean, idiomatic, well-tested code as a matter of habit.
- Working knowledge of full-stack development: comfortable across backend services, APIs, and front-end interfaces as needed.
- Experienced with cloud-based platforms (AWS, GCP, or Azure) and the engineering practices that go with them — containerization, infrastructure-as-code, managed services.
- Fluent in agentic development workflows — you use AI-assisted tooling (e.g. Copilot, Cursor, or equivalent) as a natural part of your SDLC.
- Comfortable operating in a high-velocity delivery environment with multiple releases per day.
- Disciplined about testing, observability, and rollback — you ship fast without being reckless.
- Able to take ambiguous, high-level requirements and drive them to completion without hand-holding.
Benefits:
- Not specified.
Lead Python Engineer (Risk)
Company:
Luxoft
Location:
United Kingdom, London
Short Summary:
Our client, a global commodity trading company committed to innovation, is seeking a Senior Risk Engineer to join their engineering team. This role operates at the intersection of commodities risk, market data, and modern software delivery.
Responsibilities:
- Design, build, and maintain risk engineering systems across the full stack, focusing on commodities risk and market data pipelines.
- Take high-level, loosely defined requirements from trading and risk stakeholders and independently infer the detail needed to deliver correct, production-ready solutions.
- Contribute to multiple daily releases in a CI/CD environment — writing code that is testable, observable, and safe to ship continuously.
- Work within and help evolve cloud-native, engineering-led platforms, applying modern infrastructure and deployment practices.
- Collaborate closely with quants, traders, and risk managers to ensure systems accurately reflect market and risk realities.
- Participate in design reviews, code reviews, and architectural decisions with a pragmatic, delivery-focused mindset.
- Identify and address technical debt without being asked.
Requirement:
- Solid understanding of commodities markets — price risk, mark-to-market, curves, and market data flows.
- Experience building or maintaining systems that consume and process market data at scale.
- Proficient Python practitioner — you write clean, idiomatic, well-tested code as a matter of habit.
- Working knowledge of full-stack development: comfortable across backend services, APIs, and front-end interfaces as needed.
- Experienced with cloud-based platforms (AWS, GCP, or Azure) and the engineering practices that go with them — containerization, infrastructure-as-code, managed services.
- Fluent in agentic development workflows — you use AI-assisted tooling (e.g. Copilot, Cursor, or equivalent) as a natural part of your SDLC.
- Comfortable operating in a high-velocity delivery environment with multiple releases per day.
- Disciplined about testing, observability, and rollback — you ship fast without being reckless.
- Able to take ambiguous, high-level requirements and drive them to completion without hand-holding.
Benefits:
- Not specified.
Required Skills
performance_marketingci/cdpythonrust
Required Languages
🇬🇧 English