Remote-First Senior Platform Engineer, AI-Native SaaS

Burns Sheehan; Greater London; Hybrid; GBP 113,000 - 138,000; Full time

Job summary

Burns Sheehan is seeking a Senior Platform Engineer for an AI-native SaaS platform in the UK. The role is remote-first with a hybrid London office option, offering up to £125,000 plus equity.

You will design, build and operate scalable systems, work on real-time infrastructure and developer tooling, and contribute to reliability and velocity across the engineering organization. The ideal candidate has strong Go experience, deep knowledge of distributed systems, and hands-on cloud infrastructure

Qualifications

• Strong software engineering experience with Go, and a track record designing and operating distributed systems.
• Production cloud infrastructure experience (GCP or AWS) and modern CI/CD practices.
• Solid understanding of observability, monitoring, tracing, and incident management.

Responsibilities

• Build and evolve platform infrastructure using Go, Terraform, Kubernetes and GCP.
• Design reliable, scalable distributed systems for a real-time AI-native SaaS product.
• Own CI/CD pipelines end-to-end to speed up builds, tests and deployments.
• Develop automation and internal tooling to reduce toil for engineering teams.
• Improve observability across metrics, logging, tracing and production monitoring.
• Define and manage SLOs for latency, availability, and error rates.
• Lead incident response and ship long-term fixes in codebase.
• Collaborate with product engineering to improve the path from code to production.

Skills

Go

Distributed systems

GoLang

Tools

Kubernetes

Terraform

Docker

GCP

AWS

Job description

Burns Sheehan is seeking a Senior Platform Engineer for an AI-native SaaS platform in the UK. The role is remote-first with a hybrid London office option, offering up to £125,000 plus equity.

You will design, build and operate scalable systems, work on real-time infrastructure and developer tooling, and contribute to reliability and velocity across the engineering organization. The ideal candidate has strong Go experience, deep knowledge of distributed systems, and hands-on cloud infrastructure