Production Support Engineer

Stanford Black Limited; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Stanford Black Limited, a hedge fund in London, seeks a Production Engineer to transform front-office technology with automation, AI, and modern production practices.

The role focuses on building tooling, monitoring, and AI-enabled solutions while supporting Portfolio Managers and traders to keep equity systems running smoothly.

Qualifications

• Experience in Equities production support or front-office tech environments.
• Strong understanding of equities trading and lifecycle.
• Strong Python experience with automation or internal tools.

Responsibilities

• Design and build automation to improve efficiency, reliability, and scalability of front-office support.
• Develop Python-based automation and AI-driven solutions.
• Build monitoring and observability across critical trading systems.

Skills

Equities production

Python automation

Observability tooling

Front-office liaison

Windows-Linux

Tools

Geneos

Zabbix

Grafana

Job description

Production Engineer – Equities | AI & Automation | London

A leading global multi-strategy hedge fund is seeking a Production Engineer to join its Equities technology function, helping transform how front-office technology is supported through automation, AI, and modern production engineering practices.

This is a 70/30 engineering-to-support role. The majority of your time will be spent building automation, tooling, monitoring, and AI-driven solutions that improve how the team operates, with the remainder focused on supporting Portfolio Managers and ensuring critical equity trading systems are running effectively. The team is currently undergoing a significant transformation, moving away from traditional production support towards an engineering-led model built around automation, observability, and AI. You'll have the opportunity to play an active role in that change, identifying areas of manual effort and developing solutions that fundamentally improve how the team supports the business. The environment is particularly well suited to engineers who are curious about AI and want the opportunity to apply it to real production problems.

The Role

• Spend the majority of your time designing and building automation and tooling to improve the efficiency, reliability, and scalability of front-office support
• Identify repetitive or inefficient processes and develop long-term engineering solutions rather than relying on manual intervention
• Develop Python-based automation and applications, with scope to explore AI agents, conversational interfaces, and other emerging technologies
• Build and improve monitoring and observability across critical trading systems, using platforms such as Geneos, Zabbix, Grafana, and similar tooling
• Work directly with Portfolio Managers and investment teams to understand workflows and identify opportunities for automation or improvement
• Ensure equity trading platforms are operational each morning and investigate production issues impacting the trading desk
• Support Portfolio Managers with production issues, trade discrepancies, breaks, order allocation, and routing
• Liaise with brokers and other external parties to investigate issues and resolve trade-related problems
• Develop a detailed understanding of the equity trade lifecycle, including the practical implications of contracts, execution, routing, and booking
• Troubleshoot issues across Windows and Linux environments, working across application, infrastructure, and connectivity layers where required
• Contribute to the continued evolution of the team's production engineering model, helping define new processes, tooling, and ways of working

Requirements

• Experience within Equities production support, production engineering, application support, or a similar front-office technology environment
• Strong understanding of Equities trading and the full trade lifecycle
• Strong Python experience, ideally with evidence of using it to automate processes or build internal tools
• An engineering-first mindset, with a natural focus on how problems can be solved permanently rather than repeatedly worked around
• Strong monitoring and observability experience, ideally with Geneos, Zabbix, Grafana, or similar platforms
• Experience working closely with Portfolio Managers, Traders, or other front-office stakeholders
• Strong troubleshooting and analytical skills across complex production environments
• Exposure to FIX is highly desirable
• Experience working across both Windows and Linux environments would be advantageous
• Genuine interest in AI and emerging technologies, with an appetite to identify practical ways they can improve production operations

Company Highlights

• Technology-led investment firm where engineering is viewed as a core competitive advantage
• Significant investment across both discretionary and systematic trading platforms, creating a strong pipeline of technology transformation and greenfield engineering work
• Work directly alongside Portfolio Managers, Traders, Quantitative Developers, and Researchers, offering genuine business exposure and influence
• Strong investment in AI, automation and engineering-led production support, with the opportunity to work on solutions that materially change how technology is delivered to the front office
• Highly collaborative culture with small, autonomous teams backed by the resources of a globally recognised investment firm
• Broad exposure across trading technology, creating opportunities to develop both technical and business expertise
• Strong long-term career progression with the opportunity to move deeper into production engineering, automation, platform engineering, or adjacent technology functions