Fresha
Team Lead - Platform Engineering
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Team Lead - Platform Engineering
Fresha: Platform Engineering Team Lead
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
- Powers 140,000+ businesses and 450,000+ stylists & professionals
- Processing over 1 billion appointments to date
- Headquartered in London, UK, with 15 global offices across North America, EMEA, and APAC
Fresha provides consumers with a marketplace to discover, book, and pay for services via mobile apps. For professionals, it offers an all-in-one platform for managing operations, including:
- Appointment bookings,
- Point-of-sale systems,
- Customer records management,
- Marketing automation,
- Loyalty programs,
- Product inventory tracking,
- Team management.
The ecosystem leverages online bookings, automated marketing, and integrations with Instagram, Facebook, Google, and more to unlock revenue potential for partner businesses.
Role Overview
Fresha is scaling globally, and the Platform team plays a critical role in ensuring this growth is fast, safe, and sustainable.
As the Platform Engineering Team Lead, you will:
- Be accountable for team performance & outcomes—ensuring predictable delivery, proactive communication, robust architecture, and operational standards.
- Transform platform development and operations through AI and automation, reducing toil, improving reliability, and enabling scalable engineering decisions.
- Drive infrastructure readiness aligned with business goals, blending platform strategy with operational excellent.
Your work will directly contribute to enhancing customer experiences by building a high-performance, responsive platform.
Our Tech Stack
- Containers & Orchestration: Docker, AWS EKS
- Messaging: Kafka, AutoMQ (asynchronous)
- Core Services: Elixir & Ruby
- Service Communication: gRPC
- API Layer: GraphQL
- Frontend: Next.js, TypeScript
- Data Storage: PostgreSQL (RDS), Redis (key/value)
- CI/CD: GitHub Actions (primary), Jenkins & Argo Workflows (legacy pipelines)
- Infrastructure as Code: Terraform
- Platform Tools: Python, GoLang
- Observability: Datadog, Sentry
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Key Responsibilities
Platform & Infrastructure Readiness
- Apply AI-assisted automation to reduce toil, improve operational reliability, and support data-driven decision-making.
- Align technical strategy with broader company goals, ensuring targeted outcomes.
- Define and evolve infrastructure architecture to support multi-region deployments for scalable growth.
Observability & Operational Excellence
- Implement AI-powered detection & automation to minimize manual efforts and enhance signal quality.
- Extend monitoring, alerting, and observability across services with real-time data visibility.
- Improve access to operational insights, making them actionable for efficiency gains.
Ownership, Delivery & Cross-Team Collaboration
- Lead cross-functional initiatives involving Product, Engineering, and Security teams.
- Ensure platform reliability & performance with high-quality results, balancing speed and stability.
- Scope, prioritise, and deliver platform initiatives with measurable impact.
People Leadership & Talent Development
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Set challenging yet achievable goals consistent with industry-leading technical standards.
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Maintain clear expectations and empower teams to make high-impact decisions.
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Foster professional growth through:
- Regular coaching & feedback
- Delegation of responsibilities
- Knowledge-sharing initiatives
- Retrospectives & documented processes
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Own team onboarding & health, ensuring a productive, inclusive environment.
Ideal Candidate
We’re looking for a seasoned engineering leader with:
- Proven experience leading platform, infrastructure, or SRE teams, driving impactful results.
- Hands-on expertise with automation & AI/ML tools (especially for observability, incident response, and reducing operational overhead).
- Deep technical expertise in:
- Cloud architecture (AWS EKS, RDS, S3, CloudFront), or equivalents on GCP/Azure.
- DevOps & Site Reliability Engineering (SRE) principles.
- Distributed systems, Linux fundamentals, and networking (TCP/IP, DNS, firewalls, load balancing).
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Proficiency in:
- High-level programming in Python, Go, or Bash
- Infrastructure as Code (Terraform) to build scalable, low-risk systems.
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Practical experience building observability stacks leveraging:
- Datadog, Grafana, ELK, Sentry, OpsGenie for metrics, logs, and trace analysis.
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Creative problem-solving skills with a focus on simplifying complexity and delivering scalable solutions.
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Comfort in a high-growth, ambiguous environment with strong ownership and accountability.
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Prior experience with Claude code (or similar).
Interview Process
- Screen Stage
- Video-call (45-60 mins) with a Talent Team member.
- 1st Stage
- Technical interview (90 mins) with the team (video/on-site).
- 2nd Stage
- Technical interview (up to 1.5 hrs) with the team.
- Final Stage
- Video interview with VP of Engineering & CTO (60 mins).
Fresha aims to finalize interviews and provide feedback within 4 weeks.
Due to high application volume, processing times may occasionally exceed 7 days, but all candidates receive personalised review.
Inclusive Workforce Commitment
At Fresha, we foster a welcoming, inclusive culture where everyone can thrive.
- We do not discriminate based on race, colour, religion, gender, age, ability, or any characteristic legally protected in your region.
- If you have accessibility requirements for the interview or workplace transition, please let us know—we’re committed to accommodating needs.
AI tools assist in parts of the hiring process (e.g., resume review or transcript analysis), but final decisions remain human. For transparency on data handling, see [privacy policies].
Do you have questions about the role or Fresha’s vision? We’d love to hear from you!
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