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- Tasks: Build and deploy scalable solutions using Node.js in a fast-paced, innovative environment.
- Company: Join a dynamic energy trading firm with a start-up vibe and a focus on AI integration.
- Benefits: Earn up to £130k plus bonuses, with hybrid work options and great perks.
- Other info: Collaborate with top engineers in a supportive, growth-oriented team.
- Why this job: Make a real impact by working on cutting-edge AI tooling and event-driven architecture.
- Qualifications: Experience with Node.js and a passion for AI and scalable systems.
The predicted salary is between 130000 - 130000 £ per year.
We are partnered with an energy trading client working on one of the most unique roles in a long time. You are not required to have Financial Services experience but an interest would definitely help in making the job easier to understand. The most important thing for them is exposure to event-driven architecture. Understanding idempotency, observability and how to create the architecture is a must have.
This Node.js team is being dubbed the engine room, incorporating up to 10 engineers, as well as a senior AI/ML engineers, as this platform will be producing Predictive Pricing calculations and AI tooling across the whole business.
This is an opportunity to work closely with stakeholders and the business to deliver scalable solutions as the business went through a ton of acquisitions last year and requires those platforms onboarded. Super high impact working at a very fast pace within a larger organisation does not get better than this!
As one of the Backend Developers (Node.js) for this stream, you will have involvement scoping, building and deploying the Enterprise utilities platform. Most of all, you will be releasing their AI tooling system to the business and utilise event driven architecture to make sure that the systems are scalable.
The business has been growing at a rapid rate but this part of the business sits on its own like a start-up area of the business created by the CTO to help them to make the engineering teams more successful. As part of the team, there are dedicated AI/ML engineers, which you will be working very closely with, integrating AI/ML into the Trading platform, which will spot data trends across the firm, predicting better Pricing Models, new business opportunities & highlight better ways to use data. Therefore, having an interest in AI is necessary and encouraged.
This role is signed off up to £130,000 + a very strong bonus potential. Located just outside St Paul's Station - 3 days per week in the office.
Skills required: Node.Js, TypeScript, AI exposure is a plus, event driven architecture (e.g. Kafka).
Backend Developer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid in Slough employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Developer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with event-driven architecture or AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Node.js projects, make sure to share it. It’s a great way to demonstrate your expertise and passion for backend development.
✨Tip Number 3
Prepare for the interview by brushing up on key concepts like idempotency and observability. Be ready to discuss how you’ve applied these in past projects, as they’re crucial for this role.
✨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 Backend Developer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Node.js and event-driven architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your interest in AI and how you can contribute to our greenfield trading platform. Let us know why you're excited about this opportunity and how you can make an impact.
Showcase Your Passion for Learning: We love candidates who are eager to learn! If you have any personal projects or experiences related to AI or event-driven architecture, mention them. It shows us that you're proactive and genuinely interested in the field.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Node.js Inside Out
Make sure you brush up on your Node.js skills before the interview. Be ready to discuss your experience with event-driven architecture, idempotency, and observability. They’ll want to see how you can apply these concepts in real-world scenarios.
✨Show Your Interest in AI/ML
Since this role involves working closely with AI/ML engineers, it’s a good idea to express your interest in AI technologies. Familiarise yourself with how AI can be integrated into trading platforms and be prepared to discuss any relevant projects or ideas you have.
✨Understand the Business Context
Even though financial services experience isn’t required, having a basic understanding of energy trading and how it operates will set you apart. Research the company and its recent acquisitions to show that you’re genuinely interested in their business model.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and knowledge of scalable solutions. Practice coding challenges related to Node.js and event-driven systems, as they may ask you to solve problems on the spot or discuss your thought process.