Staff Platform Engineer - AI Native SaaS Platform

Staff Platform Engineer - AI-Native SaaS Platform | 10x ARR Since Last Year

Remote-first UK with hybrid London office option

Up to £170,000 + equity

Go, GCP, Kubernetes, Terraform, distributed systems

Staff Platform Engineer - We're working with a rapidly scaling AI-native SaaS company who raised an impressive Series B round in 2025. Their platform is redefining the sector, and with revenues nearly 10x since the start of last year, they're continuing to expand their Engineering team to match the ambition of their product and customers.

The product is real-time, data-rich and AI-native, creating complex engineering challenges across distributed systems, reliability, infrastructure, tooling and developer experience. As they continue to scale their Engineering team, they are now looking for a Staff Platform Engineer with strong software engineering fundamentals to help shape the platform that allows product engineers to ship quickly, safely and reliably.

The Staff Platform Engineer

As a Staff Platform Engineer, you'll treat the internal platform as a product, with engineers as your customers.

This is a hands-on technical leadership role for someone who can design and build scalable systems, not just manage cloud infrastructure. You'll work across infrastructure, automation, CI/CD, observability and production reliability, while writing high-quality software in Go and helping set the technical standard for how engineering teams build and operate services at scale.

You'll also play a broader Staff-level role across the engineering organisation, solving complex technical problems, influencing architecture, mentoring engineers and helping raise the bar for reliability, scalability and engineering quality.

What will the Staff Platform Engineer do?

• Build and evolve platform infrastructure using Go, Terraform, Kubernetes and GCP
• Design reliable distributed systems that support a complex, real-time, AI-Native SaaS product
• Own and improve CI/CD pipelines, making builds, tests and deployments faster and safer
• Build automation and internal tooling that removes manual toil for engineering teams
• Improve observability across metrics, logging, tracing and production monitoring
• Define and manage SLOs across latency, availability and error rates
• Lead incident response, resolve complex production issues and ship long-term fixes as code
• Partner with product engineering teams to improve the path from code to production
• Provide technical leadership across teams, helping others make strong architectural decisions
• Mentor engineers and help raise the standard of platform engineering across the business

What will the Staff Platform Engineer bring?

• Strong software engineering experience, with Go as a key language
• Experience designing and operating distributed systems in production
• Strong cloud infrastructure experience, ideally with GCP or AWS
• Deep hands-on experience with Docker and Kubernetes at scale
• Experience with Terraform and infrastructure as code
• Strong understanding of networking, IAM, managed services and secure cloud architecture
• Experience owning observability, logging, APM or distributed tracing tooling
• An SRE mindset across SLOs, reliability, incident response and toil reduction
• A track record of technical leadership, mentoring and delivering complex projects through others
• Strong systems thinking, with the ability to balance speed, quality and long-term maintainability
• Clear communication skills and the ability to influence how engineers build and operate services

This is an amazing opportunity for a Staff Platform Engineer to join a fast-growing scale-up at a pivotal stage, working on complex distributed systems, real-time infrastructure, developer tooling and AI-native architecture.

Staff Platform Engineer - AI-Native SaaS Platform | 10x ARR Since Last Year

Remote-first UK with hybrid London office option

Up to £170,000 + equity

Go, GCP, Kubernetes, Terraform, distributed systems

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

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