Platform Engineer

Role: Senior Azure DevOps Engineer (Kafka)

Location: Remote (UK)

Salary: £75k + 10% Bonus

Key Skills:

• Azure
• Terraform
• Kubernetes
• Kafka
• Data platforms

Overview

We're partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration at scale.

They're scaling their platform capability and are now looking for a Platform Engineer to help design, build, and evolve their cloud and data infrastructure.

This is a hands-on role spanning cloud infrastructure, DevOps, and data platform engineering.

The Role

You'll work across Azure cloud infrastructure and data platforms, helping to build scalable, secure systems and improve how data flows across the organisation.

You'll also play a key role in improving deployment processes, system reliability, and overall platform performance, working closely with software and data teams.

Key Responsibilities

• Design and manage scalable Azure cloud infrastructure
• Own Infrastructure as Code using Terraform
• Build and maintain CI/CD pipelines using GitHub Actions (essential)
• Support GitHub-based release and deployment workflows
• Work with Kafka for event-driven streaming and real-time data movement
• Support and evolve data platforms (Databricks ideal)
• Build and maintain data pipelines (batch + streaming / ETL / ELT)
• Improve platform reliability, observability, and performance
• Collaborate with engineering teams to improve developer experience

Requirements

• Strong Azure cloud experience
• Background in Platform Engineering, DevOps, or SRE
• Strong experience with GitHub Actions for CI/CD (essential)
• Kubernetes, Docker, and Terraform experience
• Strong scripting skills (Python, Bash, or PowerShell)
• Experience with Kafka or similar streaming platforms
• Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery)
• Strong understanding of data pipelines and distributed systems
• Focus on automation, scalability, and reliability

Nice to Have

• Lakehouse or large-scale data platform experience
• Observability tooling (Datadog, Grafana, Prometheus)
• SaaS / high-growth product experience
• Strong developer experience mindset