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- Tasks: Build and optimise a trading engine for live event tickets using cutting-edge technology.
- Company: Join a fast-growing London startup transforming the ticket market with innovative solutions.
- Benefits: Competitive salary, profit sharing, comprehensive health insurance, and office lunches.
- Why this job: Make a real impact in a dynamic environment where your work directly influences trading results.
- Qualifications: Strong foundation in computer science or mathematics; familiarity with Python and data analysis.
- Other info: Ideal for recent grads or seasoned engineers eager for high-impact startup life.
The predicted salary is between 36000 - 60000 £ per year.
Mirror Labs is a US-based operation specialising in data-driven market making within the global live events industry. The firm leverages high-frequency trading infrastructure to enhance real-time pricing, liquidity, and accessibility for event tickets, ultimately aiming to transform live experiences into intelligent, efficient marketplaces. At its core, Mirror Labs focuses on creating a more accessible and efficient ticket market by integrating directly with major exchanges and bridging liquidity gaps, with over 2.5 million tickets sold and generating nine-figure transaction volume.
We are a small, London-based startup experiencing exceptional growth. We are looking for our next team member to help capture more value, bring wild ideas, and build a high-performance, low-latency trading product. We trade tickets like equities, commodities, or derivatives — analysing trends, battling manipulated markets, and constantly testing strategies to outthink the competition. Whether you are right out of university or have 10+ years in the industry, we want curious, hyper-focused problem-solvers who thrive on seeing the direct results of their work.
Responsibilities- Build and evolve the core trading engine that powers real-time market making for live event tickets.
- Work directly on production systems that handle massive data flows, execute strategies, and drive profitability in a highly dynamic, manipulated secondary ticket market.
- Design, implement, and optimize features like backtesting frameworks, strategy simulation engines, real-time pricing models, and execution logic.
- Develop and refine automated trading strategies to outperform inefficient/manipulated markets — from idea to live deployment.
- Work on low-latency, high-throughput Python-based systems integrated with AWS, Postgres, and Redis.
- Analyse market data, identify edges (trends, anomalies, liquidity gaps), and iterate rapidly on new ideas.
- Collaborate closely in a flat, fast-moving team — prototype quickly, test aggressively, deploy, measure, and repeat.
- Own end-to-end impact: your code directly affects trading P&L and market efficiency.
- Strong computer science and mathematics foundation (degree in Comp Sci, Math, Physics, Engineering, or equivalent self-taught depth).
- Familiarity with our stack: Python, AWS, PostgreSQL, Redis — or eagerness to ramp up fast.
- A quantitative mindset: comfort with data analysis, statistics, probability, time-series, optimization, or modelling inefficiencies.
- Entrepreneurial spirit: thrives in ambiguous, high-autonomy startup environments with aggressive pace and rapid iteration.
- Curiosity + bias to action: love generating and testing "crazy" ideas, unafraid to fail fast, learn from mistakes, and pivot.
- Hyper-focus on outcomes: excited to see your work directly influence live trading results and company growth.
- No specific years of experience required — we hire for potential. Recent grads with strong projects, self-taught coders with personal trading bots, or seasoned engineers looking for high-impact startup life are all welcome.
- Competitive salary + profit sharing tied to your portfolio's performance - your wins are our wins.
- In-person role at our Battersea office.
- Comprehensive Health Insurance with Full Benefits.
- Office Lunches.
Software Engineer in London employer: Mirror Labs
Contact Detail:
Mirror Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that align with what we do at Mirror Labs. Whether it's a trading bot or a data analysis project, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Brush up on Python and data structures, as these are crucial for the role. We love seeing candidates who can think on their feet and solve problems in real-time!
✨Tip Number 4
Don’t just apply anywhere; apply through our website! Tailor your application to highlight how your skills and experiences align with our mission at Mirror Labs. Show us your enthusiasm for transforming the ticket market and how you can contribute to our growth.
We think you need these skills to ace Software Engineer in London
Some tips for your application 🫡
Show Your Passion for Problem-Solving: When writing your application, let us see your enthusiasm for tackling complex problems. Share examples of how you've approached challenges in the past, whether through projects or personal experiences. We love candidates who are curious and eager to learn!
Tailor Your Application: Make sure to customise your application to reflect our job description. Highlight your experience with Python, AWS, and data analysis, and explain how these skills can help us build a high-performance trading product. A tailored application shows us you’re genuinely interested in joining our team.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate candidates who can communicate effectively, as this is crucial in our fast-paced environment where collaboration is key.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to review it more efficiently. Plus, it’s a great way to explore more about our company culture and values!
How to prepare for a job interview at Mirror Labs
✨Know Your Tech Stack
Make sure you’re familiar with Python, AWS, PostgreSQL, and Redis. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects or how you plan to ramp up quickly if you're not already an expert.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in the past. Think about times when you had to analyse data, identify trends, or develop strategies to overcome challenges. This is your chance to demonstrate your quantitative mindset!
✨Embrace Your Curiosity
Mirror Labs values a curious mindset, so come prepared with some 'wild ideas' or innovative approaches you've thought about. Discuss how you’ve tested these ideas in the past and what you learned from any failures. It shows you're not afraid to think outside the box!
✨Understand the Impact of Your Work
Be ready to talk about how your coding and engineering decisions can directly affect trading outcomes and market efficiency. Highlight any previous experiences where your work had a measurable impact, and express your excitement about contributing to the company's growth.
