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# Senior Platform Engineer (Infrastructure)

- **Company:** gb
Fresha
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon S3, Computing Platforms, Microsoft Azure, Bash Shell, Computer Programming, Linux, Domain Name System (DNS), Github, Monitoring of Systems, Virtual Private Networks (VPN), Python (Programming Language), PostgreSQL, Networking Basics, Operational Data Store, Redis, Ruby, Next.js, Message Oriented Middleware, TCP/IP, TypeScript, Datadog, Load Balancing, Large Language Models, Claude Code, Grafana, Firewalls (Computer Science), Amazon Relational Database Service, Sentry, Apache Kafka, Graphql, Front End Software Development, Terraform, AWS EKS, Docker, Elixir, Pagerduty, Jenkins, Golang
- **Published:** October 15, 2026
- **Apply:** https://www.totaljobs.com/job/senior-engineer-infrastructure/fresha-job108173284

## About the Role

* 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

## Description

* 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 Architecture & Scale

 * 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

Observability & Operations

 * 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

Ownership & Leadership

 * Scope, lead, and deliver platform initiatives autonomously
 * Drive cross-team projects with clear outcomes and accountability

Enablement & Knowledge Sharing

 * Raise the bar through documentation, runbooks, and internal knowledge sharing
 * Help teams learn, align, and operate more effectively together