At a Glance
- Tasks: Design and implement robust backend systems for an AI workspace, ensuring security and compliance.
- Company: Join a Series A AI-native fintech platform with a focus on innovation.
- Benefits: Competitive salary of £200,000 – £250,000 plus equity and direct reporting to founders.
- Other info: Collaborative environment with opportunities to mentor junior engineers and lead design reviews.
- Why this job: Make a real impact in transforming financial services through AI technology.
- Qualifications: 7+ years backend engineering experience and expert-level Python skills required.
As a Senior Backend Engineer, you will design and implement robust backend systems for an AI workspace, ensuring security and compliance. You'll collaborate with ML engineers to integrate models for financial services clients, directly impacting how financial institutions leverage AI to transform operations.
What You'll Be Doing
- Design, develop, and maintain scalable backend services and APIs for the AI workspace platform
- Build and optimize data pipelines for processing large-scale financial datasets
- Implement robust security measures and ensure compliance with industry regulations
- Collaborate with ML engineers to integrate machine learning models into backend systems
- Optimize database schemas and queries for high-throughput operations
- Lead technical design reviews and mentor junior engineers
- Monitor system performance and troubleshoot production issues
- Contribute to engineering best practices and technical documentation
What We're Looking For
- 7+ years of professional backend engineering experience
- Expert-level proficiency in Python and modern web frameworks
- Deep understanding of relational databases, especially PostgreSQL
- Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Compensation & Benefits
£200,000 – £250,000 base salary + equity
Direct reporting to the founders
Senior Backend Engineer (+ Equity) at Series A AI-native fintech platform in London employer: TechTree
Contact Detail:
TechTree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer (+ Equity) at Series A AI-native fintech platform in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your backend projects, especially those involving Python and databases. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and database optimisation. Practice explaining your thought process clearly; it’s all about showing how you tackle problems.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Backend Engineer (+ Equity) at Series A AI-native fintech platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Backend Engineer role. Highlight your experience with Python, relational databases, and any cloud platforms you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and implemented backend systems. If you've collaborated with ML engineers or worked on financial datasets, let us know! This will help us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
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!
How to prepare for a job interview at TechTree
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the web frameworks mentioned in the job description. Brush up on your knowledge of PostgreSQL and cloud platforms like Azure, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in backend engineering. Think about how you’ve optimised data pipelines or implemented security measures in past projects. Real-world examples will demonstrate your expertise and thought process.
✨Collaborate Like a Pro
Since this role involves working closely with ML engineers, be ready to talk about your experience in cross-functional teams. Highlight any instances where you’ve successfully integrated machine learning models into backend systems and how you approached collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and financial services. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and career goals.