Senior Software Engineer (Trading Systems)

Beamost Ltd; Manchester; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A trading technology company is looking for an experienced Senior Python Software Engineer to enhance a trading application. You will be responsible for maintaining and optimizing the system, implementing new features, and ensuring high performance. The role offers a unique opportunity to own a live trading application and contribute to its future direction. Ideal candidates are strong in Python and willing to work in a mostly remote environment with occasional in-office collaboration.

Benefits

Competitive salary, negotiable based on experience

Yearly bonus based on company performance

Opportunity for significant ownership of a production-grade system

Minimal bureaucracy

Qualifications

• Minimum 5+ years of professional Python experience.
• Experience with real-time data processing and trading data.
• Ability to profile, measure, and improve system performance.

Responsibilities

• Maintain and optimize a Python-based trading application.
• Add new features and improve performance.
• Troubleshoot production issues quickly.

Skills

Expert-level Python development

Low-latency and high-throughput systems

Asynchronous programming

Performance optimisation

Handling large data volumes

Redis usage

Azure cloud environments

Attention to detail

Job description

We are looking for an experienced Senior Python Software Engineer to take ownership of an established trading-related application and drive its ongoing development. You will manage and enhance the existing codebase, deliver new features, ensure reliability and performance, and help evolve the system as the business grows.

This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and working on low-latency, high-performance applications.

What You’ll Do

• Maintain, extend, and optimise an existing Python-based trading application
• Add new features and improve current capabilities with a focus on performance, reliability and clean architecture
• Build and optimise real-time pipelines handling high-frequency data
• Improve latency, throughput, and reliability using profiling and performance engineering
• Work with Redis, Azure VMs, and Anaconda environments
• Implement and maintain systems requiring millisecond-level timing precision
• Troubleshoot production issues quickly during key market hours
• Collaborate directly with the founder to shape technical direction and priorities
• Integrate with market data feeds and brokerage / order-routing components

Essential Skills

• Expert-level Python developer (min. 5+ years professional python experience)
• Demonstrable experience with low-latency / high-throughput systems (e.g., real-time data processing, trading / market data, telemetry, streaming systems, etc.)
• Strong understanding of asynchronous programming, multiprocessing, and performance optimisation
• Experience handling large volumes of fast-moving data with careful performance considerations
• Ability to profile, measure, and improve performance
• Comfortable owning an existing codebase : refactors, architecture improvements, clean tests
• Experience with Redis and general database performance considerations
• Competent with Azure cloud environments (VMs, deployment, monitoring, etc.)
• Comfortable working independently, making architectural decisions, and maintaining high code quality
• Strong engineering discipline : correctness, edge cases, careful time-handling, attention to detail
• UK-based and available for support during core market hours when needed

Desirable Skills

• Experience with algorithmic trading or market data systems
• Familiarity with Interactive Brokers TWS or other brokerage APIs
• Experience with distributed systems, message queues, or event-driven architectures
• Background in financial markets or fintech

What We Offer

• Competitive salary - negotiable based on experience
• Mostly remote, with some in-office collaboration days for coordination and planning
• Yearly bonus based on company performance
• The chance to take significant ownership of a live, production-grade system
• Long-term role with the opportunity to influence the roadmap and system design
• A lean environment with minimal bureaucracy and direct impact