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- Tasks: Design and build scalable backend services for a cutting-edge AI fintech platform.
- Company: Fast-growing Series A AI fintech backed by top global VCs.
- Benefits: Genuine ownership, accelerated learning, and impactful engineering experience.
- Other info: Dynamic environment with high expectations and immediate impact.
- Why this job: Join early in the scaling phase and shape a category-leading AI platform.
- Qualifications: 5+ years backend engineering experience with strong Python and PostgreSQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Omnis Partners is working with a fast-scaling Series A AI fintech building next-generation workflow infrastructure for global financial institutions.
This is a rare opportunity to join early in the scaling phase and help architect the backend systems powering a production-grade AI platform already deployed with major enterprise clients.
As a Senior Backend Engineer, you will play a central role in designing and scaling the core backend architecture behind a high-performance AI platform operating in complex, regulated financial environments.
You’ll collaborate closely with ML engineers, product teams, and infrastructure specialists to build systems that are resilient, secure, and capable of operating at enterprise scale.
- Design and build scalable backend services and APIs powering a production AI platform.
- Develop and enhance high-volume data pipelines handling large-scale financial datasets.
- Work with ML engineers to bring machine learning models into production systems.
- Design, optimise, and scale PostgreSQL databases (schema design, indexing, performance tuning).
- Build secure systems aligned with regulatory standards including SOC 2, GDPR, and FCA expectations.
- Improve system reliability, observability, and performance in live production environments.
5+ years backend engineering experience building production systems at scale.
- Strong Python experience (FastAPI, Django, or Flask).
- Deep PostgreSQL expertise, including query optimisation and schema design for scale.
- AWS or GCP also acceptable.
- Strong knowledge of security, authentication, and data protection in production systems.
Opportunity to build AI infrastructure used in real-world enterprise finance use cases.
High-growth environment where engineering impact is immediate and visible.
Chance to help define a category-leading AI platform at Series A stage.
Priorities shift, complexity is high, and expectations are ambitious. In return, you’ll get genuine ownership, accelerated learning, and the opportunity to shape a company at a pivotal stage of growth.
Engineer - back End Developer in London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer - back End Developer in London
✨Tip Number 1
Network like a pro! Reach out to people 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your backend projects, especially those involving Python and PostgreSQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common backend engineering problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with scalable systems and AI platforms, and let us know how you can contribute to our growth.
We think you need these skills to ace Engineer - back End Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend engineering experience, especially with Python and PostgreSQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background makes you a perfect fit for our high-growth AI fintech environment. Let us know what drives you!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex challenges in backend systems. We love seeing how you approach problems and come up with innovative solutions, especially in regulated environments.
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 this exciting opportunity to shape our AI platform at a pivotal stage of growth!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python frameworks like FastAPI, Django, or Flask. Brush up on your PostgreSQL skills, focusing on query optimisation and schema design, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building scalable backend systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you’ve contributed to system reliability and performance.
✨Understand Regulatory Standards
Familiarise yourself with key regulatory standards like SOC 2, GDPR, and FCA expectations. Be ready to discuss how you’ve implemented security measures in past projects, as this is crucial for working in a fintech environment.
✨Demonstrate Collaboration Skills
Since the role involves working closely with ML engineers and product teams, be prepared to share examples of successful collaborations. Highlight how you’ve communicated complex technical concepts to non-technical stakeholders and contributed to cross-functional projects.