Software Engineer — Real-Time Logistics AI

Jackalope Digital LLC

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

10 days ago

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Benefits offered by this job

Competitive Salary
25 days holiday + public holidays
On-site gym + Vitality membership
The People’s Pension (5% you, 3% us)
Maternity pay enhancements
Cycle to Work Scheme
Free breakfast & barista coffee

Job summary

AnyVan in London is seeking a pragmatic engineer to design and build production-grade systems that scale across our evolving logistics platform. You will help operate and improve systems in production and write clean, maintainable code that stands the test of time.

You’ll tackle full-stack challenges, collaborate with product and non-technical teammates, and learn best practices around scalability, performance, and system design as we embed AI and ML into our core platform.

Qualifications

  • Engineering experience in a scale-up or fast-growing product environment.
  • Strong understanding of APIs, data models and system interactions.
  • Experience with cloud environments and modern deployment workflows.
  • Ability to work with ambiguity and evolving requirements.

Responsibilities

  • Design and build production-grade systems that scale.
  • Operate and improve systems in production.
  • Write clean, pragmatic, well-tested code.
  • Tackle full-stack technical challenges and data flows.
  • Collaborate with product and non-technical teammates to understand requirements.

Skills

APIs & data models
Cloud environments
Ambiguity tolerance
Hands-on coding
Cross-team collaboration
Marketplaces exposure

Tools

Production-grade systems
Full-stack development

Job description

AnyVan in London is seeking a pragmatic engineer to design and build production-grade systems that scale across our evolving logistics platform. You will help operate and improve systems in production and write clean, maintainable code that stands the test of time.

You’ll tackle full-stack challenges, collaborate with product and non-technical teammates, and learn best practices around scalability, performance, and system design as we embed AI and ML into our core platform.

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