Senior Platform Engineer (AI-Native) – Remote

develop; United Kingdom; Remote; GBP 65,000 - 75,000; Full time

Job summary

develop is seeking a Senior Platform Engineer (AI Native) for a fully remote role across the UK/Europe. You will own cloud infrastructure on GCP, manage production Kubernetes, and build CI/CD pipelines while contributing to AI workloads and tooling.

The role blends infrastructure and software engineering, requiring hands-on coding in Python/TypeScript/Java and collaboration across software and product teams.

Qualifications

• Qualifications are not explicitly listed in the ad.

Responsibilities

• Design, build and improve scalable cloud infrastructure, primarily within GCP.
• Own and manage production Kubernetes environments, including troubleshooting complex cluster and application issues.
• Build and maintain infrastructure as code using Terraform.
• Design and improve CI/CD pipelines and engineering workflows.
• Contribute to application and platform code across Python, TypeScript and Java environments.
• Work with event-driven architecture and technologies such as Kafka/Confluent.
• Improve logging, monitoring and observability across the platform.
• Identify performance, reliability and scalability issues before they become production incidents.
• Support the infrastructure required for growing AI workloads, including AI gateways and model deployment.
• Contribute to internal AI tooling, automation and agentic workflows.
• Work across networking, security, IAM, secrets management and wider platform governance.
• Lead technical migrations and infrastructure projects from initial design through to implementation.
• Work closely with software engineers and wider product teams rather than operating within an isolated infrastructure function.
• Mentor other engineers through pairing, code reviews and knowledge sharing.
• Strong background in software engineering, with experience developing production applications before or alongside moving into platform/infrastructure engineering.
• Strong hands-on experience managing Kubernetes in production.
• Production cloud infrastructure experience, ideally within GCP, although strong AWS or Azure backgrounds will also be considered.
• Strong Terraform / Infrastructure as Code experience, including modules, state and infrastructure standards.
• Experience designing and building CI/CD pipelines.
• Software development experience using Python, TypeScript and/or Java.
• Good understanding of networking, security and cloud infrastructure best practices.
• Experience taking ownership of complex production infrastructure and resolving difficult technical problems.
• Comfortable moving between infrastructure and application code rather than working within a narrow technical specialism.
• Proactive approach to platform engineering, identifying opportunities to improve performance, reliability and developer experience.
• Comfortable using modern AI-assisted development tools as part of day-to-day engineering.
• GCP-native infrastructure and services.
• Kafka / Confluent or other event-streaming technologies.
• Elasticsearch.
• OpenTelemetry and modern observability tooling.
• GitHub Actions.
• PostgreSQL or similar production databases.
• LLM APIs and AI gateways.
• MCP servers and agentic workflows.
• AI observability or evaluation tooling such as Langfuse or Phoenix.
• AI security, including testing AI applications and understanding potential attack surfaces.
• Workflow automation/orchestration tools such as n8n.
• Experience working within a startup, scale-up, fintech or B2B SaaS environment.

Skills

Software engineering

Platform engineering

Problem solving

Mentoring

Tools

Kubernetes

GCP

Terraform

CI/CD

Python

TypeScript

Java

Kafka

Confluent

Elasticsearch

OpenTelemetry

GitHub Actions

PostgreSQL

Langfuse

Phoenix

n8n

Job description

develop is seeking a Senior Platform Engineer (AI Native) for a fully remote role across the UK/Europe. You will own cloud infrastructure on GCP, manage production Kubernetes, and build CI/CD pipelines while contributing to AI workloads and tooling.

The role blends infrastructure and software engineering, requiring hands-on coding in Python/TypeScript/Java and collaboration across software and product teams.