Platform Engineer

1 month ago


London, United Kingdom Wave Talent Full time €120,000

Industry: AI / PropTech / LegalTech

Salary: up to ~£120k (+ equity)

Location: Central London

  • There's only 1 mandatory office day per month, however, most of the teams come in 2-3 days/week and the preference would be for someone to match this working pattern.
  • That said, we appreciate that not everyone might be able to, and so we offer the flexibility to choose your working hours and location.

About the company

This PropTech / LegalTech company has taken the real estate industry by storm with their innovative AI solutions which automate the legal aspect of every property transaction and due diligence process. Their products utilise the bleeding-edge of Generative AI and are powered by the latest LLM’s, including OpenAI’s GPT-4o and o1 along with Anthropic’s Claude models.

In just a few years since inception, they have completely dominated the UK market, working with with the largest law firms in the country (including all 5 Magic Circle firms) as well as innovative global property investors (including Tesla)

About the role

In preparation for international expansion, they're now looking for their 1st dedicated Platform Engineer to take ownership of this function. You’ll have autonomy in shaping the tech stack, defining best practices, and building scalable systems that will set the foundation for future engineering growth.

✅ Must have requirements:

  • Proficiency in Python (i.e. being able to write production grade code; scripting alone is not sufficient)
  • Experience designing, building and maintaining highly scalable and reliable cloud infrastructure - ideally in Azure
  • Experience designing and implementing robust observability and incident management solutions (DataDog is highly desirable)
  • Kubernetes
  • Terraform
  • CI/CD (Github Actions is highly desirable)

Bonus points for:

  • Software engineering background before progressing to SRE/Platform Engineering
  • Having worked as a sole SRE/DevOps/Platform Engineer and taken ownership of the function
  • Having worked for a scaling start-up, and supported it through a growth period
  • Exposure to (or better, experience with) LLMs or GenAI

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