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 a focus on continuous learning and growth.
- 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 in London employer: Galytix Limited
Galytix is an exceptional employer that offers a unique opportunity to work on groundbreaking AI projects within the financial services sector. With a strong focus on professional development, employees benefit from continuous learning and collaboration with industry leaders, all while being part of a diverse and innovative team. Located in a dynamic environment, Galytix fosters a culture of agility and creativity, making it an ideal place for those looking to advance their careers in software engineering and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Back-end Engineer in London
✨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#, .NET, and any cool AI stuff you've worked on. This gives potential employers a taste of what you can do.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Sr. Back-end Engineer in London
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 should tell us why you're excited about working on AI projects in financial services. Share specific examples of how your background aligns with our mission and the technologies we use.
Showcase Your Team Spirit:Since we value collaboration, mention your experience in agile development processes. Talk about how you've contributed to team meetings and code reviews, and how you support your teammates.
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!
How to prepare for a job interview at Galytix Limited
✨Know Your Tech Stack
Make sure you brush up on your C#, .NET, and SQL skills before the interview. Be ready to discuss your experience with these technologies in detail, as well as any projects where you've implemented them. This will show that you're not just familiar with the tools, but that you can use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to bug-fixing or optimising queries. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled issues and what the outcomes were.
✨Familiarise Yourself with Agile Practices
Since the role involves participating in an agile development process, be ready to talk about your experience with agile methodologies. Share examples of how you've contributed to team meetings, code reviews, or sprint planning, highlighting your collaborative spirit.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's AI projects or their approach to software development. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
