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- Tasks: Join a cutting-edge team to build secure AI platforms and enhance developer tools.
- Company: Global financial leader with a focus on innovation and collaboration.
- Benefits: Competitive salary, full medical, 10% matched pension, and exciting events.
- Why this job: Make a real impact in AI technology while working with talented colleagues.
- Qualifications: Strong Go experience, Kubernetes knowledge, and a passion for AI technologies.
- Other info: Hybrid role with great opportunities for learning and growth.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for experienced Golang engineers to join us on a cutting‑edge platform engineering and AI programme with a global financial leader. You’ll be part of a high‑calibre engineering team building secure, scalable AI platforms. You’ll work on Platform Engineering and Internal Developer Platform initiatives that help engineering teams move faster, and on agentic AI tooling that’s transforming how we work.
This role sits at the intersection of core engineering and emerging AI technology. You’ll be helping to shape best practices for how developers use GenAI tools safely and effectively, building secure frameworks and core platform services for use of AI, and deploying LLMs in a private enterprise environment.
If you enjoy solving complex problems, learning new technologies, and contributing to high‑impact technical strategy, you’ll feel right at home.
Core skills- Strong commercial experience with Go — this is essential
- Deep knowledge of Kubernetes
- Solid understanding of cloud-native architecture, scaling, SRE and DevOps practices
- Breadth across core engineering disciplines (infrastructure, architecture frameworks, CI/CD, security, scaling)
- Curiosity and enthusiasm for agentic and generative AI technologies
- Experience in Platform Engineering teams, running technical platforms at scale
- Knowledge of other languages such as Kotlin, Java, or Python
- Background in financial services or large-scale engineering environments
- Experience contributing to open-source or internal frameworks
What we offer:
- Work on a high‑profile, long‑term programme with a global financial leader. You’ll have a significant impact, and a chance to build platform features that you can be proud of.
- Work in a talented team, learning from exceptional colleagues with a real focus on getting things done.
- Opportunities for learning and growth, including exposure to the latest AI technologies and practices.
- Great benefits, including full medical, 10% matched pension and regular premium events.
These roles are hybrid - typically one office day per month, with most work done remotely. You’ll need to be UK-based and within a commutable distance to London for occasional on‑site collaboration.
Contract typePermanent only.
EligibilityWe can only consider candidates who have the right to work in the UK and do not require visa sponsorship.
Interested? Email with your CV and a brief introduction. Even if you’re not sure you tick every box, we’d still love to hear from you - we’re always keen to meet passionate, technically curious developers and can keep you in mind for future projects if this one isn’t the right fit.
Senior Go Engineer in London employer: Juxt Ltd.
Contact Detail:
Juxt Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Go Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in AI and platform engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Go projects or any contributions to open-source. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Kubernetes and cloud-native architecture. Be ready to discuss how you’ve tackled complex problems in past roles – they love hearing about real-world experiences!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate developers who are eager to learn and grow with us.
We think you need these skills to ace Senior Go Engineer in London
Some tips for your application 🫡
Show Off Your Go Skills: Make sure to highlight your strong commercial experience with Go in your CV. We want to see how you've used it in real-world projects, so don’t hold back on the details!
Kubernetes Knowledge is Key: Since we’re all about cloud-native architecture, let us know about your solid understanding of Kubernetes. Share any specific projects or experiences that showcase your expertise in this area.
Be Curious About AI: We love a bit of curiosity! If you’ve dabbled in agentic or generative AI technologies, mention it. Show us your enthusiasm for learning and how you can contribute to our cutting-edge platform.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Juxt Ltd.
✨Know Your Go
Make sure you brush up on your Go knowledge before the interview. Be ready to discuss your past projects and how you've used Go in real-world applications. Highlight any specific challenges you faced and how you overcame them.
✨Showcase Your Cloud-Native Skills
Since the role involves cloud-native architecture, be prepared to talk about your experience with Kubernetes and other cloud technologies. Share examples of how you've implemented scaling and SRE practices in previous roles.
✨Demonstrate Your Curiosity for AI
This position sits at the intersection of engineering and AI, so show your enthusiasm for generative AI technologies. Discuss any relevant projects or learning experiences that demonstrate your curiosity and willingness to explore new tech.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex problems during the interview. Practice explaining your thought process clearly and concisely. Use examples from your experience to illustrate how you approach problem-solving in high-impact technical scenarios.