Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop innovative features using C# for cutting-edge AI applications.
- Company: Galytix, a leader in AI for financial services, founded by industry experts.
- Benefits: Competitive salary, professional development, and opportunities to work with top-tier clients.
- Other info: Dynamic team environment with excellent growth and learning opportunities.
- Why this job: Join groundbreaking AI projects and make a real impact in the financial sector.
- Qualifications: 5+ years in software development with strong C# and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Galytix (GX) is delivering Agentic AI for financial services. Founded in 2015 by credit and insurance experts together with world-class AI engineers, GXʼ financial services specialised AI Agents empower credit and risk professionals with a trusted and personalised agent delivering a step change in productivity and decision-making.
Design, development and testing of new features in the applications using C#. Responsible for regular communication with others involved in the development process. Implement, test, and bug-fix functionality. Participate as a team member in our agile development process (team meetings, code reviews). Provide support to end users.
Desired skills:
- Bachelor's degree in Computer Science or Engineering.
- 5+ years of software development experience in C#.
- .NET 5 or higher experience.
- Solid knowledge and experience in SQL, EF, ADO.NET, Stored procedures, query optimisation.
- Experience in creating containerised applications - Docker.
- Good knowledge of NoSQL technology (MongoDB).
- WEB API (REST, GraphQL).
- Experience developing data intense applications and/or ETL processes.
- Strong in Object Oriented Programming, Design patterns and SOLID principles.
Optional:
- Experience with Azure/AWS services.
- Kubernetes – kubectl, deployments, helm charts, Lens and ArgoCD.
Why you don’t want to miss this career opportunity:
- Be part of groundbreaking AI projects: Work on the world’s first personalised AI assistants for Financial Institutions, leveraging the latest advancements in Large Language Models (LLMs) to deliver unique data insights.
- Stay at the forefront of Software Engineering and AI / Data: Join a team dedicated to staying on the leading edge of technology, providing you the opportunity to continuously learn and apply new skills in AI-driven data solutions.
- You will work closely with senior leaders who have individually served a number of CEOs in Fortune 100 companies globally.
- You can develop yourself and build skills and connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
- Grow with a diverse team that values professional development, with opportunities for formal training and informal knowledge sharing.
Sr. Back-end Engineer employer: Galytix Limited
Contact Detail:
Galytix Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Back-end Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using C# and .NET. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Sr. Back-end Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sr. Back-end Engineer role. Highlight your experience with C#, .NET, and any relevant projects that showcase your skills in developing data-intensive applications.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how your background makes you a perfect fit for our team at Galytix.
Showcase Your Projects: If you've worked on containerised applications or have experience with NoSQL technologies like MongoDB, make sure to mention these in your application. We love seeing real-world examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Galytix Limited
✨Know Your Tech Stack
Make sure you’re well-versed in C#, .NET, SQL, and all the other technologies mentioned in the job description. Brush up on your knowledge of Docker and NoSQL databases like MongoDB. Being able to discuss your experience with these tools confidently will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to think critically and adapt in an agile development environment.
✨Engage with the Team Dynamics
Since collaboration is key in this role, be ready to talk about your experience working in teams. Share examples of how you’ve contributed to team meetings or code reviews. Highlighting your communication skills will show that you can effectively support end users and work well with others.
✨Stay Curious About AI Trends
Given the focus on AI in this position, it’s a good idea to stay updated on the latest advancements in AI and data solutions. Be prepared to discuss how these trends could impact financial services and how you can contribute to innovative projects at Galytix.