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For Companies At a Glance
- Tasks: Design and deploy backend services for a global AI workspace in Fintech.
- Company: Exciting hyper-growth Fintech backed by elite global investors.
- Benefits: Competitive salary, equity options, and direct access to seasoned founders.
- Why this job: Join a team solving complex problems with cutting-edge technology in a dynamic environment.
- Qualifications: 6+ years in Python, experience with FastAPI, Django, and PostgreSQL.
- Other info: Collaborate with top minds in AI and Finance, with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The unstoppable AI Fintech rewriting the industry playbook. I am currently partnering with one of the most exciting names in the global AI space. My client is a hyper-growth Fintech that is fundamentally restructuring how the world’s premier financial institutions handle their most complex workflows. Having recently closed a Series A—one of the largest ever recorded in the sector—and backed by elite global investors, they are now seeking a heavy-hitting Senior Backend Engineer to join their Start-Up engineering culture in London.
The Opportunity
In this role, you won’t just be writing features; you will be the architect of the high-performance infrastructure powering a global AI workspace. You will be responsible for building the "engine room" that allows sophisticated machine learning models to operate at an enterprise scale, ensuring that massive financial data pipelines are processed with millisecond precision and ironclad security.
Location: Central London (Fully Onsite)
Your Impact;
- Engineer Scalable Ecosystems: Design and deploy the core backend services and APIs that support a rapidly expanding user base of global financial giants.
- Master Complex Data: Optimize high-throughput, low-latency distributed systems and refine sophisticated database architectures.
- Bridge AI & Production: Work hand-in-hand with ML specialists to turn experimental models into robust, production-ready systems.
- Drive Technical Excellence: Set the benchmark for code quality, lead technical design reviews, and mentor a high-calibre team of rising engineering talent.
The Profile
We’re looking for a "builder" at heart—someone who thrives when the stakes are high and the problems are non-obvious.
The Toolkit:
- You bring 6+ years of experience, with a solid background in Python and modern frameworks such as FastAPI and Django.
- Databases: You have a solid understanding of PostgreSQL (optimization and scaling).
- Architectural Fluency: You are well-versed in event-driven patterns, microservices, and cloud-native environments (Azure/Docker/K8s).
The Mindset: You are comfortable with the "uncomfortable" nature of a scaling startup. You are tenacious, focused, and ready to work alongside founders with a history of successful exits.
Why Join?
- High-Upside Reward: A highly competitive salary paired with meaningful equity in a company currently valued as a "generational" prospect.
- Direct Access: Report directly to seasoned founders who have successfully scaled and exited multiple ventures.
- Elite Peer Group: Collaborate with some of the sharpest minds in AI and Finance in a culture that rewards hard work and intellectual honesty.
If you are seeking a role that offers genuine challenge—one that won’t be easy but will involve solving the industry’s most complex problems—this is the seat for you.
Software Engineer (Python~) employer: Trust In SODA
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Python~)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and modern frameworks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design problems. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you a leg up in the process. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Software Engineer (Python~)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your Python expertise and any relevant frameworks like FastAPI or Django. We want to see how you can be a builder in our fast-paced environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and Fintech, and explain why you're excited about this opportunity. Let us know how your experience makes you the perfect fit for our team.
Showcase Your Projects: If you've worked on any projects that demonstrate your backend engineering skills, don’t hold back! Include links to your GitHub or any live projects. We love seeing what you've built and how you tackle complex problems.
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 it gets into the right hands. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Trust In SODA
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like FastAPI and Django. Brush up on your knowledge of PostgreSQL, especially around optimisation and scaling, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly in high-pressure environments. Be ready to explain how you approached complex problems and what solutions you implemented.
✨Understand the Company’s Vision
Research the company’s mission and recent developments in the AI Fintech space. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their success.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Practice coding problems and system design questions that relate to building scalable ecosystems and optimising data pipelines. This will help you demonstrate your expertise effectively.
