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For Companies At a Glance
- Tasks: Build secure, scalable systems and integrate Generative AI using Go.
- Company: Join a leading firm revolutionising finance with cutting-edge technology.
- Benefits: Enjoy flexible working options and a collaborative environment.
- Why this job: Work on exciting projects that shape the future of finance and technology.
- Qualifications: Experience in Go, cloud infrastructure, and modern tech stacks required.
- Other info: Ideal for those passionate about open source and solving complex challenges.
The predicted salary is between 48000 - 72000 £ per year.
Help build secure, global-scale platforms that power Generative AI in finance.
We’re looking for Go-savvy engineers with:
- Go (Golang), plus Kotlin, Java, Node.js, or Python
- Cloud & hybrid infrastructure experience
- Kubernetes, Terraform, Helm
- Kafka, Vault, Postgres, MongoDB
What you’ll do:
- Build full-stack Go-based blueprints
- Integrate GenAI and LLMs
- Design secure, scalable systems used bank-wide
- Shape best practices in modern, cloud-native tech
If you love Go, open source, and solving big challenges — let’s talk!
Contact Detail:
Source Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer C# - FLEXIBLE WORKING
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and how they apply to finance. Being able to discuss current developments and their implications during your interview will show your passion and knowledge in the field.
✨Tip Number 2
Get hands-on experience with Go and related technologies like Kubernetes and Terraform. Contributing to open-source projects or building your own applications can provide you with practical examples to discuss in your interview.
✨Tip Number 3
Network with professionals in the cloud engineering and Generative AI space. Attend meetups, webinars, or online forums where you can connect with others and learn about potential opportunities at companies like ours.
✨Tip Number 4
Prepare to showcase your problem-solving skills by working on real-world challenges. Be ready to discuss how you've tackled complex issues in previous roles, especially those involving cloud-native technologies and secure system design.
We think you need these skills to ace Senior Software Engineer C# - FLEXIBLE WORKING
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go (Golang) and any other relevant languages like Kotlin, Java, Node.js, or Python. Emphasise your cloud and hybrid infrastructure experience, particularly with Kubernetes, Terraform, and Helm.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building secure, scalable systems and your interest in Generative AI. Mention specific projects where you've integrated similar technologies and how you can contribute to the company's goals.
Showcase Relevant Projects: Include links to any open-source projects or personal projects that demonstrate your skills in Go and cloud-native technologies. This will give the hiring team a clear picture of your capabilities and problem-solving skills.
Highlight Best Practices: Discuss your understanding of best practices in modern cloud-native tech within your application. This could include your approach to security, scalability, and integration of GenAI and LLMs in your previous work.
How to prepare for a job interview at Source Technology
✨Showcase Your Go Expertise
Make sure to highlight your experience with Go (Golang) during the interview. Be prepared to discuss specific projects where you've used Go, and how it contributed to the success of those projects.
✨Demonstrate Cloud Knowledge
Since the role involves cloud and hybrid infrastructure, brush up on your knowledge of Kubernetes, Terraform, and Helm. Be ready to explain how you've implemented these technologies in past roles.
✨Discuss Security Practices
Given the focus on building secure systems, be prepared to talk about best practices in security that you've applied in your previous work. This could include anything from secure coding practices to data protection strategies.
✨Prepare for Technical Challenges
Expect to face technical challenges or problem-solving scenarios during the interview. Practice coding problems in Go and be ready to explain your thought process as you work through them.
