Senior Platform Engineer (Infrastructure)

Fresha
Fresha

Software Engineering, Other Engineering

London, UK

Posted on Sep 28, 2026

Senior Platform Engineer - Infrastructure (London)

Location: Old Street, London — Onsite (4 days / week)

About Fresha

Fresha is the leading AI-powered operating system for the global beauty and wellness industry, giving businesses everything they need to run smarter, grow faster and build stronger client relationships.

In May 2026, Fresha secured an $80M growth investment from KKR at a valuation of $1B, officially reaching unicorn status and bringing total funding raised to $285M. Already profitable, Fresha is using this investment to accelerate global expansion and drive the next generation of AI and product innovation.

Today, Fresha operates at global scale, with offices across Europe, North America, the Middle East and Asia Pacific. Our platform is trusted by 130,000+ beauty and wellness businesses across 120 countries, with more than 1.5 billion appointments booked to date.

Our mission is simple: help beauty and wellness businesses grow by giving them the technology they need to attract clients, manage their operations and run their business in one place.

We’re continuing to scale rapidly across markets, teams and products, making this an exciting time to join us.

Role overview

Fresha is entering its next phase of global scale, and the Platform team plays a vital role in making that growth fast, safe, and sustainable.

As a Senior Platform Engineer, you will take end-to-end ownership of how our platform and services are built, deployed, and operated. Your focus is clear: remove friction for engineers, reduce operational risk, and ensure the platform scales alongside the business.

Your mission is to ensure engineers always have the right tools, patterns, and infrastructure so they can deliver faster, safer, and with confidence.

We care deeply about customer impact, even when the work is internal — platform improvements ultimately exist to help Fresha deliver better experiences to customers.

To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from our dog-friendly office 4 days per week, with the option to work from home on Wednesday. London office address: The Bower, The Tower, 207 Old St, London EC1V 9NR

Our Tech Stack:

  • Docker

  • AWS EKS

  • Kafka / AutoMQ for asynchronous messaging

  • Elixir & Ruby for core services

  • gRPC for inter-service communication

  • GraphQL for API ingress

  • Next.js / TypeScript for frontend

  • PostgreSQL (RDS) for persistent storage

  • GitHub Actions (primary CI), with Jenkins & Argo Workflows for legacy pipelines

  • Redis for key/value storage

  • Terraform for infrastructure as code

  • Python and GoLang for our Platform tools

  • Datadog, Sentry for observability and incident response

What you will be doing:

Platform Architecture & Scale

  • Define and evolve infrastructure architecture to support multi-region deployments

  • Design systems for resilience, scalability, and operational simplicity

  • Explore and apply AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making where it creates clear value

Observability & Operations

  • Extend monitoring and observability capabilities across services

  • Make operational data easy to access, understand, and act on

  • Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies and approaches

  • Experiment with AI-assisted detection, triage, or automation to improve signal quality and reduce manual effort

Ownership & Leadership

  • Scope, lead, and deliver platform initiatives autonomously

  • Drive cross-team projects with clear outcomes and accountability

Enablement & Knowledge Sharing

  • Raise the bar through documentation, runbooks, and internal knowledge sharing

  • Help teams learn, align, and operate more effectively together

We’d love to hear from you if you:

  • Have 5+ years of experience building, operating, and troubleshooting production-grade systems, with a strong focus on reliability, observability, and scalability

  • Bring hands-on experience with AI/ML or LLM-based tools in a platform or operational context (e.g. automation, observability, developer experience, or incident response)

  • Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systems

  • Have experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure

  • Are comfortable working close to the system with solid Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)

  • Have practical experience designing or improving observability (metrics, logs, traces) using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie

  • Take ownership of complex technical problems, form clear opinions backed by data, and drive solutions through implementation and collaboration

  • Work effectively across teams, communicate technical concepts clearly, and apply systems thinking to make platforms easier to use, safer to operate, and simpler to scale

  • Have experience with Claude code


Inclusive workforce

At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.

We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.

We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.

If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.