Senior Platform Engineer - Real-Time Back Office & AI

ably30; United Kingdom; Remote; GBP 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote-first

Ownership from day one

UK & Europe teams

Zusammenfassung

Ably is hiring for a hands-on platform engineer to own the back office platform that manages customer packages, entitlements and billing. You will work with the Head of Infrastructure and the Developer Experience team, shaping how the system works and delivering impactful tooling.

In an AI-first engineering culture, you will apply LLMs and AI tools to plan, prototype and iterate while ensuring correctness and architectural quality.

Qualifikationen

• Experience in large, established codebases; Rails helpful but breadth of skill matters more.
• Proven ability to shape architecture inherited by a system and make boundary decisions.
• Self-starter who can work through ambiguity with limited guidance and push back when needed.
• AI-first mindset; familiarity with LLMs and AI tools as productivity multipliers.
• Experience making systems observable and testable, with a defined test strategy.

Aufgaben

• Run the back office platform and manage systems for packages, entitlements, limits and billing.
• Own design and delivery of problems described by users rather than predefined specs.
• Make admin tools usable so staff can view purchases, billing, limits, and perform changes confidently.
• Collaborate with Finance, Customer Success, Support and Engineering as users.
• Champion AI-assisted development and ensure correctness and architectural quality.
• Ensure systems can explain themselves, including invoices and limits.
• Set testing bar and build harness to meet production readiness.

Kenntnisse

Ruby on Rails

Platform architecture

AI/LLM tooling

Observability & testing

Problem solving

Tools

Orb

Metronome

Chargebee

Jobbeschreibung

Ably is hiring for a hands-on platform engineer to own the back office platform that manages customer packages, entitlements and billing. You will work with the Head of Infrastructure and the Developer Experience team, shaping how the system works and delivering impactful tooling.

In an AI-first engineering culture, you will apply LLMs and AI tools to plan, prototype and iterate while ensuring correctness and architectural quality.