About Fresha

Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.

Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.

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.

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

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.

Tech Stack

Docker
AWS EKS
Kafka / AutoMQ for asynchronous messaging
Elixir & Ruby for core services
gRPC for inter-service communication
GraphQL for API ingress
https://jobeax.com/link/Z30sZYC3jcRenVso / 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

Qualifications

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

Senior Platform Engineer (Infrastructure)

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