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- Tasks: Own and enhance a production Python codebase for a trading application.
- Company: Dynamic tech company focused on real-time data processing.
- Benefits: Competitive salary, performance bonuses, mostly remote work, and high ownership.
- Why this job: Make a real impact on a live system with cutting-edge technology.
- Qualifications: 5+ years Python experience and expertise in low-latency systems.
- Other info: Collaborate closely with the founder and enjoy a lean, impactful environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We’re expanding our engineering team and hiring a Senior Python Software Engineer to help own and develop an established trading-related application. The system runs in production, processes high-frequency real-time data, and needs careful performance engineering and disciplined testing to keep latency and reliability where they should be. You’ll take meaningful ownership day-to-day, partnering closely with the founder and the engineering team to prioritise work, ship improvements quickly, and keep the system fast, reliable, and correct.
Location: UK-based preferred
Working style: Mostly remote, occasional in-person days for planning/coordination
Support: Availability during core market hours when needed
What You’ll Do:
- Own and improve a production Python codebase that runs during market hours.
- Build and optimise real-time data pipelines (throughput, p50/p99 latency, jitter).
- Do profiling-driven performance work across ingestion → compute → messaging → consumers.
- Improve reliability: freshness/staleness handling, safe degradation, back pressure, fault isolation.
- Strengthen “developer leverage”: replay/simulation tools, regression tests, and debugging tooling.
- Work with cloud infrastructure, deployment, monitoring, and incident response.
- Collaborate directly with the founder and engineering team on architecture and roadmap.
Essential Skills:
- 5+ years professional Python experience; you’ve shipped and owned production systems.
- Built/owned a real-time / low-latency system (not batch ETL) with measurable performance goals.
- Strong understanding of async + multiprocessing tradeoffs and performance profiling.
- Comfortable owning an existing codebase: refactors, tests, architecture improvements.
- Experience with messaging / event-driven systems and strong API/schema discipline.
- Production ownership mindset: incidents, monitoring, and fast debugging when it matters.
- UK-based preferred and able to support core market hours when required.
Desirable Skills:
- Experience with trading, market data, or execution systems.
- Familiarity with Interactive Brokers TWS or other brokerage APIs.
- Experience designing safety constraints/guardrails in automated systems.
What We Offer:
- Competitive salary (negotiable) + performance-related bonus.
- Mostly remote, with some in-office collaboration days for coordination and planning.
- Lean environment, direct impact on a live system.
- High ownership and influence over system design and roadmap.
Senior Python Engineer in Cambridge employer: Beamost Ltd
Contact Detail:
Beamost Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to real-time systems or trading applications. This gives us a glimpse of your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on performance engineering and async programming. We love candidates who can discuss their past experiences with low-latency systems and how they tackled challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior Python Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any real-time systems you've worked on. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for performance engineering and how you’ve tackled challenges in previous roles. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've improved system performance or reliability in past projects. We love seeing concrete results, so include metrics if you can. It helps us understand your impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks!
How to prepare for a job interview at Beamost Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around performance profiling and async programming. Be ready to discuss specific projects where you've optimised code or improved latency in real-time systems.
✨Showcase Your Production Experience
Prepare examples of how you've owned and maintained production systems. Highlight any incidents you've managed and how you ensured reliability and quick debugging during market hours.
✨Understand the Trading Landscape
Familiarise yourself with trading systems and market data. If you have experience with brokerage APIs like Interactive Brokers TWS, be sure to mention it. This will show that you understand the context of the application you'll be working on.
✨Be Ready for Technical Challenges
Expect technical questions that test your knowledge of low-latency systems and event-driven architectures. Practice explaining your thought process when tackling performance issues or designing safety constraints in automated systems.
