At a Glance
- Tasks: Design and build scalable backend services using Python and cutting-edge technologies.
- Company: Dynamic tech company in London with a focus on innovation and collaboration.
- Benefits: Competitive salary, private health coverage, 25 days holiday, and enhanced parental leave.
- Other info: Great opportunities for mentorship and career growth in a high-ownership environment.
- Why this job: Join a small team to make impactful decisions and work on complex systems.
- Qualifications: 5+ years in backend development, strong Python skills, and experience with streaming systems.
The predicted salary is between 90000 - 105000 £ per year.
Location: London (in-office 4 days per week, non-negotiable)
Type: Full-time
Reports to: Head of Engineering
Salary: £90,000-£105,000 + benefits
Are you a Senior Backend Engineer who thrives on designing and scaling complex systems? Do you enjoy working on data-intensive platforms involving Real Time pipelines, streaming architectures, and graph-based services?
This is a hands-on role within a small, research-driven engineering team working on high-complexity systems. You will take ownership of key components from architecture through to production, while contributing to the overall technical direction.
Key Responsibilities- Design, build, and own Back End services and data pipelines in Python
- Develop and operate streaming systems using Kafka or similar technologies
- Work with graph-based data structures and algorithms to support analytics and decision-making
- Build reliable, scalable systems that process Real Time data from distributed edge devices
- Lead technical decisions across architecture, tooling, and system design
- Collaborate with data scientists and ML engineers to deploy models into production
- Mentor engineers and contribute to engineering best practices
- Improve observability, monitoring, and incident response processes
- Write maintainable, well-tested code and contribute to code reviews
- 5+ years of experience building and operating Back End systems in production
- Strong proficiency in Python
- Experience with streaming systems (Kafka, Pulsar, or similar)
- Familiarity with graph data structures and algorithms
- Experience working with databases (MongoDB or similar)
- Solid understanding of distributed systems concepts and trade-offs
- Proven experience owning systems end-to-end
- Experience with Git and collaborative development workflows
- Ability to make independent technical decisions and clearly communicate trade-offs
- Comfortable working in a small, high-ownership team environment
- Private health and dental coverage
- 25 days holiday
- Enhanced parental leave
- High-quality hardware
- Additional perks (workspace benefits, team events, and more)
Backend Software Engineer - Python in London employer: The Talent Locker
Join a dynamic and innovative team in London as a Backend Software Engineer, where you'll have the opportunity to design and scale complex systems while working closely with data scientists and ML engineers. Our collaborative work culture fosters personal growth and technical excellence, supported by comprehensive benefits including private health coverage, generous holiday allowance, and enhanced parental leave. With a focus on high-ownership and research-driven projects, this role offers a unique chance to make a significant impact in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Software Engineer - Python in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or in backend engineering. A friendly chat can lead to referrals and insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving streaming systems or graph-based services. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and distributed systems knowledge. Practice coding challenges and system design questions to demonstrate your expertise during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Backend Software Engineer - Python in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and backend systems. We want to see how you've designed and scaled complex systems, so don’t hold back on those details!
Showcase Your Projects:Include any relevant projects that demonstrate your skills in streaming systems or graph-based services. We love seeing real examples of your work, especially if they involve data-intensive platforms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your experience aligns with our needs. Make it personal and engaging – we want to get to know you!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at The Talent Locker
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building and operating Back End systems, and have examples of your work handy. They’ll likely want to see how you’ve tackled complex problems using Python.
✨Familiarise Yourself with Streaming Systems
Since this role involves working with streaming systems like Kafka, it’s crucial to understand how they function. Prepare to discuss any projects where you've implemented or operated such systems, and be ready to explain the trade-offs involved in your decisions.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical questions or coding challenges during the interview. Think about how you can demonstrate your ability to design scalable systems and solve real-time data processing issues. Practice common algorithms and data structures, especially graph-based ones.
✨Emphasise Collaboration and Mentorship
This position requires working closely with data scientists and ML engineers, so highlight your collaborative experiences. Share examples of how you’ve mentored others or contributed to team best practices, as they value a high-ownership team environment.
