Senior Go Engineer: AI Platforms & Scalable Backend

JUXT

Greater London

On-site

GBP 90,000 - 140,000

Full time

42 hours ago
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Job summary

JUXT is hiring for an AI Product & Platform engineer to join the Tier 1 Bank’s CTO-led AI initiative. You will help design scalable backend services and AI-powered platforms using Golang, operating within microservices and cloud-native environments.

You will collaborate with product, engineering, and AI teams to turn ideas into production-ready solutions, while mentoring peers and advancing engineering practices across code quality, testing, observability, and CI/CD.

Qualifications

  • Proven experience building scalable backend services in production.
  • Golang expertise with production-grade systems.
  • Experience with microservices and distributed architectures.
  • Familiarity with cloud-native tools and Kubernetes.

Responsibilities

  • Design and build AI-powered products and platforms using Golang.
  • Develop high-performance backend services and APIs at enterprise scale.
  • Build and enhance internal developer tools and reusable components.
  • Partner with product, engineering and AI teams to productionize ideas.
  • Contribute to cloud-native, microservices architectures.
  • Drive code quality, testing, observability and CI/CD.
  • Solve distributed systems challenges with focus on scalability and resilience.
  • Mentor engineers and foster a high-performing culture.

Skills

Golang (Go)
Back-end design
Microservices
Cloud-native
Kubernetes
System design
Performance optimization
AI/ML exposure
Engineering culture

Tools

Docker
Kubernetes
CI/CD tooling

Job description

JUXT is hiring for an AI Product & Platform engineer to join the Tier 1 Bank’s CTO-led AI initiative. You will help design scalable backend services and AI-powered platforms using Golang, operating within microservices and cloud-native environments.

You will collaborate with product, engineering, and AI teams to turn ideas into production-ready solutions, while mentoring peers and advancing engineering practices across code quality, testing, observability, and CI/CD.

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