Fresha

Platform engineer in beauty and wellness

In short

Senior Platform Engineer role at Fresha, an AI-powered operating system for the beauty and wellness industry, owning how platform and services are built, deployed, and operated across multi-region deployments. The role requires 5+ years building production-grade systems with strong reliability, observability, and scalability focus, plus hands-on AI/ML or LLM tooling experience, Python/Go/Bash, Terraform, AWS (or GCP/Azure), Linux/networking fundamentals, and observability tools like Datadog, Grafana, ELK. Work is hybrid from a London office 4 days a week, with Wednesdays remote.

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. 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.
Responsibilities
•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
•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
•Scope, lead, and deliver platform initiatives autonomously
•Drive cross-team projects with clear outcomes and accountability
•Raise the bar through documentation, runbooks, and internal knowledge sharing
•Help teams learn, align, and operate more effectively together
Requirements
•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
Conditions
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.

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