Fresha
Senior Platform Engineer (Infrastructure)

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Senior Platform Engineer (Infrastructure)
Senior Platform Engineer – Fresha
The AI-powered OS for beauty, wellness and self-care
About Fresha
[Preserve existing text exactly] Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons, barbers, spas, medspas, fitness studios to 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 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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Our Tech Stack
- Containerisation & Cloud Native: Docker
- Cloud Infrastructure: AWS EKS
- Eventing & Messaging: Kafka / AutoMQ
- Core Services: Elixir & Ruby
- Service Communication: gRPC
- API Layer: GraphQL
- Frontend Framework: Next.js / TypeScript
- Databases:
- PostgreSQL (RDS) for persistent storage
- Redis for key/value storage
- CI/CD Automation: GitHub Actions (primary CI), with Jenkins & Argo Workflows for legacy pipelines
- Code & DevOps Tools: Terraform, Python, GoLang
- Observability: Datadog, Sentry
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 leverage AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making.
Observability & Operations
- Extend monitoring and observability capabilities across services.
- Ensure operational data is accessible, understandable, and actionable.
- Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies.
- Experiment with AI-assisted 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.
Requirements & Profile
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, incident response).
- Demonstrate strong programming (Python, Go, Bash) and automation skills for Infrastructure as Code (Terraform) to build repeatable, low-risk systems.
- Know Azure/Equivalent in addition to experience with AWS (EKS, RDS, S3, CloudFront).
- Work comfortably close to the system with Linux/Unix fundamentals, networking knowledge (TCP/IP, DNS, firewalls, load balancing, VPNs).
- Have practical experience designing or improving observability (metrics, logs, traces) with tools like Datadog, Grafana, ELK, Sentry, and OpsGenie.
- Take ownership of complex technical problems, form clear, data-backed opinions, and drive solutions through implementation and collaboration.
- Excel in cross-team work, clear technical communication, and integrating systems thinking to create simpler, easier-to-use, safer, and scalable platforms.
- Have experience with Claude/Code-focused AI tools


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Interview Process
- Screen Call – Video call with a member from the Talent Team (45–60 minutes)
- 1st Stage – Technical video/in-person interview with our Engineers (90 minutes)
- 2nd Stage – Technical video/in-person interview with Engineers (up to 2 hours)
- Final Stage – Video/in-person meet with Leadership (60 minutes)
We aim to finalise the interview process and deliver feedback within 4 weeks
Every application is manually reviewed by our team. While we strive to assess applications within 7 days, volume may extend this timeline.
Inclusive Workforce
At Fresha, we foster a culture where individuals of all backgrounds feel comfortable. Equal opportunity, fairness, and full inclusion are our operational core values. Every applicant is fairly considered; no legacy biases or caste.
We do not discriminate on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, marital status, disability, or any other applicable legally protected characteristic.
Accessibility needs? We offer required accommodations for interviews and ensure inclusivity post-employment—please mention your needs so we can support you.
Note: We may use AI tools (for application reviews, resume screening) as part of our hiring process. Final decisions remain human-made.
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