Senior Platform Engineer

We are seeking a Senior Platform Engineer to join the ML Toolchain team at King. This role involves designing and building a modern, developer-friendly ML platform on Google Cloud Platform (GCP) and Kubernetes. The engineer will improve cloud infrastructure, standardise tooling, develop self-service solutions for ML engineers, and collaborate across teams to enhance reliability and performance. Key responsibilities include implementing automation, observability, CI/CD, and security practices, while staying current with cloud-native technologies and contributing to Python-based ML workflows.

Must Have

• Extensive experience with Google Cloud Platform (GCP)
• Deep proficiency in Kubernetes (GKE) and container orchestration
• Strong background in Infrastructure as Code (IaC) using Terraform, Kustomize, Helm
• Proven experience building and operating CI/CD pipelines (Cloud Build, ArgoCD)
• Solid programming skills in Python
• Hands-on experience designing, building, and testing APIs and self-service platforms
• Strong grasp of Git, GitOps, coding standards, and code review practices
• Experience managing CloudSQL databases (PostgreSQL, MySQL)
• Strong understanding of observability practices (metrics, logging, dashboards, alerting)
• Experience using Crossplane for cloud-native provisioning
• Experience with Argo Workflows & Events for orchestration
• Expertise in Linux, networks, DNS, firewalls, and security best practices
• Strong communicator, fluent in spoken and written English
• Demonstrated ability to work independently and collaborate effectively

Good to Have

• Familiarity with ML infrastructure and tools (Vertex AI, DataProc, Spark, MLFlow, Ray)
• Knowledge of Java and/or Go (including Go templating for Crossplane)
• Familiarity with MLOps workflows

Craft: Technology & Development

Job Description:

Senior Platform Engineer

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Location: Stockholm, Malmö, Barcelona, London, Berlin

Team: ML Toolchain

About the Role

We’re looking for a Senior Platform Engineer with a strong focus on cloud infrastructure to join our ML Toolchain team, the team building the foundational tooling that enables machine learning at scale across King. You’ll play a key role in designing and building a modern, developer-friendly ML platform on top of Google Cloud Platform (GCP), Kubernetes, and a suite of open-source tools.

The platform is primarily built in Python, exposing APIs and a front-end to support ML practitioners across the company. As an engineer in this team, you'll work across infrastructure and software boundaries, driving the platform's evolution with a focus on usability, scalability, and reliability.

What You’ll Do

• Design, build, and improve cloud infrastructure components that support ML workloads and shared services across the organisation
• Contribute to the standardisation and consolidation of infrastructure by driving migrations to a centralised, platform-aligned model
• Develop and maintain self-service tooling to empower ML engineers and developer teams to deploy, monitor, and manage their own services with minimal friction
• Collaborate with platform teams, ML engineers, and service owners to identify pain points, reduce fragmentation, and improve infrastructure reliability and performance
• Implement and evolve practices around automation, observability, CI/CD, and infrastructure security
• Stay hands-on with emerging cloud-native technologies and drive their adoption where relevant (e.g., CNCF tools, open source frameworks, Google Cloud services)
• Work in Python-based environments, contributing to the stability and scalability of ML-native workflows, pipelines, and orchestration systems
• Contribute to knowledge-sharing, code reviews, and documentation practices that strengthen the team’s effectiveness
• Understand and promote the principles of platform engineering

Required Skills

• Extensive experience with cloud platforms, particularly Google Cloud Platform (GCP), its core services and best practices
• Deep proficiency in Kubernetes (GKE) and container orchestration
• Strong background in Infrastructure as Code (IaC) using Terraform, Kustomize and Helm (or similar tools)
• Proven experience building and operating CI/CD pipelines, using tools like Cloud Build and ArgoCD
• Solid programming skills in Python
• Hands-on experience in designing, building, and testing APIs and self-service platforms
• Strong grasp of Git, GitOps, coding standards, and code review practices
• Experience managing and working with CloudSQL databases like PostgreSQL and MySQL
• Strong understanding of observability practices, including metrics, logging, dashboards, and alerting
• Experience using Crossplane for cloud-native provisioning and Argo Workflows & Events for orchestration
• Expertise in Linux, along with solid understanding of networks, DNS, firewalls, and security best practices
• Strong communicator, fluent in spoken and written English
• Demonstrated ability to work independently and collaborate effectively across teams

Nice to Have skills

• Familiarity with ML infrastructure and tools, including Vertex AI, DataProc, Spark, MLFlow, and Ray, or similar systems
• Knowledge of Java and/or Go (including Go templating for Crossplane)
• Familiarity with MLOps workflows