Senior Platform Engineer

Who you are

• Have 5+ years of experience building, operating, and troubleshooting production-grade systems, with a strong focus on reliability, observability, and scalability
• Bring hands-on experience with AI/ML or LLM-based tools in a platform or operational context (e.g. automation, observability, developer experience, or incident response)
• Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systems
• Have experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure
• Are comfortable working close to the system with solid Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)
• Have practical experience designing or improving observability (metrics, logs, traces) using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie
• Take ownership of complex technical problems, form clear opinions backed by data, and drive solutions through implementation and collaboration
• Work effectively across teams, communicate technical concepts clearly, and apply systems thinking to make platforms easier to use, safer to operate, and simpler to scale
• Have experience with Claude code

What the job involves

• 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 Senior Platform Engineer, you will take end-to-end ownership of how our platform and services are built, deployed, and operated. Your focus is clear: remove friction for engineers, reduce operational risk, and ensure the platform scales alongside the business
• Your mission is to ensure engineers always have the right tools, patterns, and infrastructure so they can deliver faster, safer, and with confidence
• We care deeply about customer impact, even when the work is internal — platform improvements ultimately exist to help Fresha deliver better experiences to customers
• Define and evolve infrastructure architecture to support multi-region deployments
• Design systems for resilience, scalability, and operational simplicity
• Explore and apply AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making where it creates clear value
• Extend monitoring and observability capabilities across services
• Make operational data easy to access, understand, and act on
• Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies and approaches
• Experiment with AI-assisted detection, triage, or automation to improve signal quality and reduce manual effort
• Scope, lead, and deliver platform initiatives autonomously
• Drive cross-team projects with clear outcomes and accountability
• Raise the bar through documentation, runbooks, and internal knowledge sharing
• Help teams learn, align, and operate more effectively together

Benefits

• Work from home opportunities
• Fast track career progression
• Travel coverage when visiting teammates - through workshops and social events
• A vibrant and collaborative company culture
• Company social events