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For Companies At a Glance
- Tasks: Design and scale backend systems for a cutting-edge AI platform.
- Company: Rapidly growing Series A AI fintech backed by top-tier investors.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Other info: Fast-paced environment with significant ownership and career progression.
- Why this job: Make a real impact on enterprise-scale AI systems and shape the future of fintech.
- Qualifications: 5+ years in backend engineering with strong Python and PostgreSQL skills.
The predicted salary is between 100000 - 200000 £ per year.
Omnis Partners is partnering with a rapidly scaling Series A AI fintech building enterprise-grade AI workflow infrastructure for global financial institutions. This is a rare opportunity to join at a pivotal growth stage and help build the backend systems powering a production AI platform already trusted by major enterprise clients.
The Opportunity
As a Senior Backend Engineer, you’ll help design and scale the core backend systems behind a high-performance AI platform operating in complex, regulated environments. You’ll work across backend, data, and infrastructure domains alongside ML engineers and product teams to build systems that are secure, scalable, and built for enterprise-grade reliability. This is a hands-on, high-impact role where engineering decisions directly shape product capability and scale.
What you’ll be doing
- Design, build, and scale backend services and APIs powering a production AI platform.
- Develop and optimise high-throughput data pipelines for large-scale financial datasets.
- Productionise ML models in collaboration with machine learning engineers.
- Design and optimise PostgreSQL schemas, queries, and performance at scale.
- Build secure, compliant systems aligned with SOC 2, GDPR, and regulated environments.
- Work on distributed systems using event-driven and asynchronous architectures.
- Improve system reliability, observability, and performance in production.
- Contribute to architecture discussions and mentor engineers within the team.
What they’re looking for
- 5+ years backend engineering experience building production-scale systems.
- Strong Python experience (FastAPI / Django / Flask).
- Deep PostgreSQL expertise (schema design, indexing, query optimisation).
- Strong understanding of distributed systems and microservices architecture.
- Experience with Redis, caching strategies, and async task queues (e.g. Celery).
- Cloud experience (Azure preferred, AWS/GCP also fine).
- Experience with Kubernetes, Docker, and CI/CD pipelines.
- Strong understanding of security, authentication, and compliance in production systems.
- Experience working in fast-paced, high-ownership environments.
Why this role
- Significant ownership over backend architecture and scalability.
- Opportunity to work on real-world AI systems at enterprise scale.
- Direct exposure to founders with multiple prior successful exits.
- High-growth environment where engineering decisions matter every day.
- Chance to help shape a category-defining AI platform at Series A stage.
The reality
This is a high-intensity, fast-moving environment. Priorities and requirements can shift quickly. You’ll be expected to operate with autonomy and strong technical judgement. In return, you get real impact, ownership, and speed of progression.
Senior Backend Engineer in London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a company you're interested in. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; show it! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend systems and AI. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so practice explaining your thought process clearly!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It shows your genuine interest and helps us keep track of your application. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Backend Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend engineering experience and showcases your skills in Python, PostgreSQL, and distributed systems. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity at our AI fintech. Share specific examples of how you've tackled challenges in high-ownership environments and how you can contribute to our mission.
Showcase Your Projects: If you’ve worked on any impressive backend systems or AI projects, make sure to mention them! We love seeing real-world applications of your skills, so include links to your GitHub or any live projects that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python frameworks like FastAPI, Django, and Flask. Brush up on your PostgreSQL skills, focusing on schema design and query optimisation, 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 or optimising data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Research the fintech landscape and understand how AI is transforming financial services. Be ready to discuss how your experience aligns with their mission and how you can contribute to building enterprise-grade AI workflow infrastructure.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current tech stack, the challenges they face in scaling their systems, or how they ensure compliance in regulated environments. This shows you're not just interested in the job, but also in the company's future.