Team Lead - Platform Engineering (London)

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 Platform Engineering Team Lead, you will be accountable for the team’s performance and outcomes — ensuring delivery is predictable, communication is proactive, systems are well-architected, and operational standards are upheld. With the rapid acceleration of AI and automation, this is a unique moment to transform how platforms are built and operated — reducing toil, improving reliability, and enabling smarter, faster engineering decisions. You will support Fresha’s growth by driving infrastructure readiness, aligning platform strategy with business outcomes, and applying AI where it delivers real operational leverage. We care deeply about customer impact, even when the work is internal - platform improvements ultimately exist to help Fresha deliver better experiences to customers. Our Tech Stack DockerAWS EKSKafka / AutoMQ for asynchronous messagingElixir & Ruby for core servicesgRPC for inter service communicationGraphQL for API ingressNext.js / TypeScript for frontendPostgreSQL (RDS) for persistent storageGitHub Actions (primary CI), with Jenkins & Argo Workflows for legacy pipelinesRedis for key/value storageTerraform for infrastructure as codePython and GoLang for our Platform toolsDatadog, Sentry for observability and incident response What You Will Be Doing Platform & Infrastructure Readiness Apply AI-assisted approaches to reduce toil, improve reliability, and support platform decision-making where it creates clear valueAlign technology direction with broader company strategy and operational prioritiesDefine and evolve infrastructure architecture to support multi-region deployments Observability & Operational Excellence Implement with AI-assisted detection, triage, and automation to improve signal quality and reduce manual effortExtend monitoring, alerting, and observability capabilities across servicesMake operational data easy to access, understand, and act on Ownership, Delivery & Cross-Team Leadership Drive cross-functional initiatives across Product, Engineering, and Security stakeholdersOwn the reliability and performance of the platform, ensuring the team consistently delivers high-quality resultsScope, prioritise, and deliver platform initiatives with clear outcomes and accountability People Leadership & Talent Growth Set goals that are ambitious but achievable, without compromising technical standardsEnsure the team is clear on expectations and empowered to make value-added decisionsDevelop engineers through coaching, delegation, and feedbackFoster continuous learning through retros, documentation, and knowledge-sharingOwn onboarding and team health, ensuring engineers are set up for success We’d Love to Hear From You If You Have proven experience as an engineering leader, driving high-impact outcomes across platform, infrastructure, or reliability teamsBring hands-on experience applying automation and AI/LLM-based tools to improve observability, incident response, and reduce operational toilStrong technical background across infrastructure, cloud platforms, and distributed systemsKnowledge of cloud architecture, workload management, DevOps, and SRE principlesExperience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or AzureUnderstanding of Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systemsPractical experience building observability systems across metrics, logs, and traces, using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenieCreative problem-solving mindset, with the ability to simplify complex systems and unlock scalable solutionsComfortable operating in a fast-paced, rapidly evolving environment with high ownership, ambiguity, and strong accountabilityHave experience with Claude code 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.