fresha - Team Lead - Platform Engineering
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Responsibilities
• 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 deploymentsObservability & 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 onOwnership, 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 accountabilityPeople 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 • ## 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 (60min) • 2nd Stage - Technical Video/In-person interview with Team (up to 1.5 hours) • Final Stage - Video interview with Head of Engineering / VP of Engineering (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 • 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.
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