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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 a dynamic work environment.
- Other info: Fast-paced environment with significant ownership and career growth opportunities.
- Why this job: Make a real impact on enterprise-scale AI systems and shape the future.
- Qualifications: 5+ years of backend engineering experience 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 Slough employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks 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 or GitHub repository showcasing your projects, especially those related to backend systems and AI. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common backend engineering problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Backend Engineer in Slough
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 tailoring it to fit!
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 experience can contribute to our high-growth AI fintech. Let us know what makes you tick and why you’d be a great fit for our team.
Showcase Relevant Projects: If you've worked on any projects that demonstrate your skills in building scalable backend systems or optimising data pipelines, make sure to mention them. We love seeing real-world examples of your work, so don’t hold back!
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. Plus, it shows us you’re keen to join our team!
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 challenges with backend systems, their approach to security and compliance, or how they envision the future of their AI platform. This shows you’re engaged and thinking critically about the role.