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- Tasks: Design and build scalable backend services for a cutting-edge AI platform.
- Company: Fast-growing AI fintech backed by top-tier 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 70000 - 90000 £ 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.
Requirements:
- 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.
Back End Developer Engineer in London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Back End Developer Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Build a personal project or contribute to open-source. This is a great way to demonstrate your backend engineering chops and give potential employers a taste of what you can do. Plus, we love seeing creativity!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python, PostgreSQL, and system design knowledge. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to make an impact in the AI fintech world.
We think you need these skills to ace Back End Developer Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience, especially with Python and PostgreSQL, to show us you’re the right fit for our high-growth environment.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this opportunity. Share specific examples of how you've designed scalable backend systems or worked with ML engineers, so we can see your passion and expertise shine through.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills; give us a glimpse into how you tackle complex challenges. We want to know how you’ve improved system reliability or optimised databases in past roles.
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 role in shaping our AI platform!
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 tackled complex problems in regulated environments.
✨Understand the Business Context
Familiarise yourself with the fintech landscape and the specific challenges that AI platforms face in financial institutions. This knowledge will help you demonstrate your understanding of the industry and how your skills can contribute to the company's goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s architecture, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company culture aligns with your values, especially in a high-growth environment where priorities can shift rapidly.