Platform Engineer

Digital Waffle
Greater London, UK
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Cloud Engineering Distributed Systems Python (Programming Language) Machine Learning Software Engineering Systems Integration TypeScript Chatbots Backend
+3 more
Event Driven Architecture Kubernetes Serverless Computing

Job description

  • Build and ship core product features across Python, TypeScript and cloud infrastructure.
  • Own features end to end, from understanding customer requirements through to production delivery.
  • Work directly with customers to scope technical solutions and translate operational problems into product features.
  • Build scalable, event-driven backend systems and integrations with third-party platforms.
  • Develop and improve AI-powered workflows, including voice and conversational AI capabilities.
  • Make pragmatic engineering decisions, knowing when to move quickly with an MVP and when to invest in scalable foundations.
  • Contribute to cloud architecture, infrastructure and deployment patterns across the platform.
  • Set high standards around testing, documentation, security, reliability and engineering quality.
  • Help mentor other engineers and influence technical direction as the team grows.

Requirements

This is a senior, hands-on engineering role for someone who enjoys building from the ground up, solving complex technical problems and working directly with customers. You’ll have broad ownership across product, architecture and delivery, with the opportunity to shape both the technology and engineering culture as the business scales., * 5 to 10 years’ experience across full stack or backend-focused software engineering.

  • Strong commercial experience with Python and TypeScript - ideally Async (AsyncOpenAI)
  • Experience building and scaling production AI products or integrating AI/ML capabilities into software.
  • Strong backend engineering skills with experience designing scalable services and APIs.
  • Experience working with cloud infrastructure and modern distributed systems.
  • Understanding of event-driven architecture and asynchronous systems.
  • Experience with Kubernetes, serverless infrastructure or modern containerised environments.
  • Strong product mindset with the ability to work directly with customers and understand their operational challenges.
  • High ownership mentality with the ability to thrive in a fast-moving startup environment.
  • Comfortable working onsite in London five days per week.

Nice to have

  • Experience working with voice AI or conversational platforms.
  • Background as an early engineer within a high-growth startup.
  • Experience building integrations with CRM, scheduling or operational software.

This role would suit a senior engineer who wants significant ownership, enjoys solving difficult product and infrastructure challenges, and wants to help shape a high-growth AI business from an early stage.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Workflow inflection points and the evolution of engineering roles

Peter Caron Peter Caron · World Congress 2026 Europe

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Structuring and scaling the backend engineering team

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Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · World Congress 2024

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Misconceptions about TypeScript safety capabilities

Simone Sanfratello · JS Congress

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Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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