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Fresha
Greater London, England, United Kingdom • On-site
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Lead the Platform Engineering team to ensure predictable delivery, high operational standards, and scalable infrastructure architecture. Drive the integration of AI-assisted tools to reduce operational toil and improve platform reliability and observability.
Proven experience as an engineering leader in platform or reliability teams with strong technical expertise in AWS, Terraform, and distributed systems. Proficiency in Python or Go and experience building observability systems using tools like Datadog or Grafana is required.
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.
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.
Docker
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
Apply AI-assisted approaches to reduce toil, improve reliability, and support platform decision-making where it creates clear value
Align technology direction with broader company strategy and operational priorities
Define and evolve infrastructure architecture to support multi-region deployments
Implement with AI-assisted detection, triage, and automation to improve signal quality and reduce manual effort
Extend monitoring, alerting, and observability capabilities across services
Make operational data easy to access, understand, and act on
Drive cross-functional initiatives across Product, Engineering, and Security stakeholders
Own the reliability and performance of the platform, ensuring the team consistently delivers high-quality results
Scope, prioritise, and deliver platform initiatives with clear outcomes and accountability
Set goals that are ambitious but achievable, without compromising technical standards
Ensure the team is clear on expectations and empowered to make value-added decisions
Develop engineers through coaching, delegation, and feedback
Foster continuous learning through retros, documentation, and knowledge-sharing
Own onboarding and team health, ensuring engineers are set up for success
Have proven experience as an engineering leader, driving high-impact outcomes across platform, infrastructure, or reliability teams
Bring hands-on experience applying automation and AI/LLM-based tools to improve observability, incident response, and reduce operational toil
Strong technical background across infrastructure, cloud platforms, and distributed systems
Knowledge of cloud architecture, workload management, DevOps, and SRE principles
Experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure
Understanding 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 systems
Practical experience building observability systems across metrics, logs, and traces, using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie
Creative problem-solving mindset, with the ability to simplify complex systems and unlock scalable solutions
Comfortable operating in a fast-paced, rapidly evolving environment with high ownership, ambiguity, and strong accountability
Have experience with Claude code
Screen Stage - Video-call with a member from the Talent Team (45-60min)
1st Stage - Technical video/In-person interview with the team (90min)
2nd Stage - Technical Video/In-person interview with Team (up to 1.5 hours)
Final Stage - Video interview with VP of Engineering & CTO (60min)
We aim to finalise the entire interview process and deliver feedback within 4 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
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.
There are currently 359 open software positions in Greater London, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Fresha, BlueOptima, Deloitte, the LEGO Group, Publicis Groupe Holdings B.V., among others. Browse the listings above to see every active employer.
Yes — 275 of the 359 open software positions offer remote or hybrid work (35 remote, 240 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
