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- Tasks: Design and scale backend systems for a cutting-edge AI platform in fintech.
- 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 opportunities.
- Why this job: Make a real impact on enterprise-scale AI systems and shape the future of fintech.
- Qualifications: 5+ years backend engineering experience with strong Python and PostgreSQL skills.
The predicted salary is between 100000 - 200000 £ per year.
A high-growth Series A AI Fintech is 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 employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the fintech space. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with projects that highlight your backend engineering skills. This is your chance to demonstrate your expertise in Python, PostgreSQL, and distributed systems.
✨Ace the Interview
Prepare for technical interviews by brushing up on system design and coding challenges. Practice common questions related to backend architecture and data pipelines. Remember, they want to see how you think and solve problems, so articulate your thought process!
✨Apply Through Our Website
We’ve got some amazing opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Senior Backend Engineer role. It’s a fast-paced environment, and we’re looking for passionate individuals like you!
We think you need these skills to ace Senior Backend Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Backend Engineer role. Highlight your experience with backend systems, Python, and PostgreSQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI fintech and explain why you're excited about this opportunity. Let us know how your past experiences make you a perfect fit for our team.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any live projects that demonstrate your backend engineering skills. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get noticed. Plus, it’s super easy to do!
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.
✨Demonstrate Your Team Spirit
This role involves collaboration with ML engineers and product teams, so be prepared to talk about your experience working in cross-functional teams. Share examples of how you’ve mentored others or contributed to architecture discussions to show you’re a team player.