Team Lead - Platform Engineering
Key Skills for This Role
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- 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
- 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
- Screen Stage - Video-call with a member from the Talent Team (45-60min)
- 1st Stage - Technical video/In-person interview with the team (60min)
- 2nd Stage - Technical Video/In-person interview with Team (up to 1.5 hours)
- Final Stage - Video interview with VP of Engineering & CTO (60min)
About Fresha
Marketplace and management software for beauty and wellness businesses.
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