Senior Full Stack Lead (Go) - AI-Driven, Hybrid London

Senior Full Stack Lead (Go) - AI-Driven, Hybrid London

Full-Time 54470 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop a high-traffic marketplace platform using Golang and Vue.js.
  • Company: Join the American Society of Civil Engineers, a leader in innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and career growth opportunities.
  • Other info: Collaborate with diverse teams in a vibrant London setting.
  • Why this job: Make a real impact on a dynamic platform while working with cutting-edge technologies.
  • Qualifications: Strong backend Golang skills and frontend experience with Vue.js/Nuxt.js required.

The predicted salary is between 54470 - 70000 Β£ per year.

American Society of Civil Engineers is seeking a Senior/Lead Full Stack Engineer with a Golang focus to scale a high-traffic marketplace platform.

The role is hybrid, with 2 days per week in Central London, and requires strong backend Golang expertise alongside frontend work in Vue. js/Nuxt. js.

You will design, develop, and optimise backend services and frontend interfaces, collaborating with product, design, and engineering teams to deliver impactful features and improvements.

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Senior Full Stack Lead (Go) - AI-Driven, Hybrid London employer: American Society of Civil Engineers

Join a dynamic leader in BMS control systems in Greater Belfast, where you will thrive in a supportive work culture that prioritises employee growth and development. With an attractive salary package, including a company car and pension plan, you will have the opportunity to manage exciting projects while building strong client relationships in a collaborative environment that values innovation and teamwork.

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Contact Details:

American Society of Civil Engineers Recruitment Team

We think you need these skills to ace Senior Full Stack Lead (Go) - AI-Driven, Hybrid London

Golang
Vue.js
Nuxt.js
Backend Development
Frontend Development
API Design
Performance Optimisation