Fresha
Senior Platform Engineer (Infrastructure)

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Senior Platform Engineer (Infrastructure)
Senior Platform Engineer
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, processing over 1 billion appointments to date.
Headquarters & Global Reach
Headquartered in London, United Kingdom, with 15 global offices spanning North America, EMEA, and APAC.
What Fresha Does
Clients use Fresha’s consumer marketplace to discover, book, and pay for beauty and wellness appointments with local businesses. Meanwhile, businesses and professionals use an all-in-one platform to manage operations seamlessly, including:
- Appointment bookings
- Point-of-sale solutions
- Customer records management
- Marketing automation
- Loyalty programs
- Inventory management for beauty products
- Team management
By leveraging online bookings, automated marketing, mobile apps, and integrations with Instagram, Facebook, and Google, Fresha unlocks new revenue streams for its partners.
Role Overview
Fresha is at the start of its next phase of global expansion, and its Platform team is instrumental in driving fast, safe, and sustainable growth.
As a Senior Platform Engineer, you will take end-to-end ownership of how Fresha’s platform and services are built, deployed, and operated. Your core responsibilities focus on:
- Removing friction for engineers
- Reducing operational risk
- Ensuring the platform scales with the business
Your mission is clear: Design, build, and maintain cutting-edge infrastructure that enables faster, safer, and more confident deliveries. Even internal platform improvements are done with an eye towards improving customer experiences.
Hybrid Working Model
All Fresha employees work 4 days in the office (a dog-friendly space at The Bower, The Tower, 207 Old St, London EC1V 9NR) with the option to work from home on Wednesdays.
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
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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
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Tech Stack
- containers & orchestration: Docker, AWS EKS
- messaging: Kafka, AutoMQ
- backend: Elixir & Ruby (core services), gRPC (inter-service comms)
- frontend: Next.js + TypeScript
- data storage: PostgreSQL (RDS), Redis (key/value cache)
- CI/CD: GitHub Actions (primary), Jenkins & Argo Workflows (legacy)
- infrastructure & tooling: Terraform (IaC), Python, Go
- observability: Datadog, Sentry
Key Responsibilities
Platform Architecture & Scaling
- Define and evolve infrastructure architecture for multi-region deployments
- Design systems that prioritize resilience, scalability, and operational simplicity
- Pilot AI-assisted tools (e.g., LLM models) to reduce operational toil, improve reliability, and support key platform decisions
Observability & Operations
- Extend monitoring and observability across all services
- Simplify operational access to critical data for decision-making
- Build tooling for safe deployments, automated rollbacks, and reduced toil using best practices for software operations
- Experiment with AI-driven observability for automated incident detection, triage, or remediation
Ownership & Leadership
- Scope, lead, and deliver platform initiatives independently, ensuring clear ownership and accountability
- Collaborate with cross-functional teams to drive technical projects toward measurable outcomes
Enablement & Knowledge Sharing
- Improve documentation, runbooks, and internal knowledge repositories
- Promote best practices that streamline team workflows and reduce inefficiencies
You’d Be Great If
- You have 5+ years experience building, operating, and troubleshooting production-grade systems, with a focus on:
- reliability
- observability
- scalaibility
- You have hands-on experience with AI/ML or LLM-powered tools (especially in platforms, ops, automation, or incident response)
- You exhibit strong coding and automation skills, especially in:
- Python, Go, or Bash
- Infrastructure as Code (Terraform, CloudFormation, or equivalent)
- Experience with AWS (EKS, RDS, S3, CloudFront) or equivalent services in GCP/Azure
- Forward-thinking, system architecture mindset with expertise in:
- Linux
- Advanced networking (TCP/IP, DNS, firewalls, load balancing, VPNs)
- Proven observability design experience using:
- Datadog, Grafana, ELK, Sentry, OpsGenie
- Commitment to ownership when dissecting complex challenges, forming data-backed solutions, and championing their deutsche weiteres
- Ability to simplify technical concepts and engage collaboratively across functions, balancing technical depth with cultural fit
- Bonus points for experience with Claude code (AI/operator hybrid systems)


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Interview Process
A flexible and transparent process designed to assess both fit and fit-criteria.
- Screen Call
- 45-60 min video call with Talent Team (initial alignment)
- 1st Technical Stage
- 90-min edited or in-person interview with Fresha engineers (practical ask)
- Quality Check
- Up to 2-hour technical discussion with resten where needed
- Narratives around design decisions and problem-solving
- Final stage – CTO meet
- 60 min round with the Chief Technology Officer, focusing on vision alignment
- The process ends with a finalised feedback timeline of max 4 weeks
- Every application is reviewed manually by our talent team, even if high volume, our ANTs will prioritise efficiency
Diversity & Inclusion
At Fresha, we prioritise a culture where everyone thrives.
- Equality of opportunity – No discrimination based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any legally protected characteristic.
- Accessibility needs – If you have any accessibility requirements for the interview process or potential employment, we invite you to disclose these to us for support.
- AI in hiring – Fresha uses AI tools to augment parts of the application process, including resume analysis. However, final decisions remain human-led.
If you want further details on data handling policies, please reach out.
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