Senior Platform Engineer (Infrastructure)
- London, United Kingdom
Posted yesterday
About the role
The AI-powered OS for beauty, wellness and self-care
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.
Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.
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
Interview Process
Screen Call - Video call with a member from the Talent Team - 30 minutes
1st Stage- Technical Video call/In-person interview with Head of Engineering - 60 minutes
2nd Stage- Technical Video call/In-person interview with Engineers - Up to 2.5 hours (including a 30 minute preparation exercise)
We aim to finalise the entire interview process and deliver feedback within4 weeks.
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe
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.