Team Lead - Platform Engineering

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

• Docker
• AWS EKS
• 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

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 value
• Align technology direction with broader company strategy and operational priorities
• Define 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 effort
• Extend monitoring, alerting, and observability capabilities across services
• Make operational data easy to access, understand, and act on

Ownership, Delivery & Cross-Team Leadership

• 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

People Leadership & Talent Growth

• 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

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 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

Interview Process

• 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