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Job Title: Senior Platform Engineer - GKE/GCP
Location: London / Hybrid
Job Type: Permanent
Salary: £90-110K

Sector: AI

About the Role:

You will play a vital role in designing, building, and maintaining the scalable infrastructure and services that underpin the microservices-based platform. Your work will directly influence the reliability, scalability, and performance of our back-end systems. You'll collaborate closely with AI, data, and back-end teams, leveraging cutting-edge technologies to drive innovation.

Responsibilities:

Design, implement, and manage Kubernetes-based infrastructure on Google Kubernetes Engine (GKE), incorporating Istio for service mesh, Helm, and Kustomize.
Build and maintain CI/CD pipelines with GitHub Actions and ArgoCD to streamline automated deployments.
Contribute to the development and maintenance of core microservices in Go, with a focus on scalability, efficiency, and performance.
Optimize and oversee message-driven systems using Kafka (Strimzi) to support robust data streaming.
Manage and secure cloud resources, including VPCs and GCP Buckets, ensuring compliance with best practices.
Implement infrastructure as code to enhance scalability, reliability, and maintainability of the platform.
Participate in architectural discussions, advocating for cloud-native designs and prioritising system reliability and performance.Requirements:

Are highly proficient with Kubernetes (preferably GKE) and familiar with tools like Istio (service mesh), Helm, and Kustomize.
Have hands-on experience managing and optimising message brokers.
Possess strong CI/CD skills, with expertise in tools like GitHub Actions and ArgoCD for automated deployments.
Have a solid background in infrastructure as code (Pulumi or Terraform) and container orchestration.
Have extensive experience building and maintaining microservices architectures, particularly with gRPC.
Have some experience coding services in Go or similar programming languages.Advantageous:

Have experience with monitoring and observability tools such as Grafana, Prometheus, ELK stack, or FluentBit.
Are familiar with Python and have supported migrations from legacy systems.
Are experienced in managing cloud infrastructure on GCP, including VPC setup and security best practices (e.g., SOC 2 compliance).
Have worked with AI/ML solutions and understand how to integrate models into production environments.
Have maintained Kafka/Strimzi in a clustered setup.
Have a good understanding of best practices in user authentication, authorization, and secure API design.

Apply without delay if this sounds of interest. We'll be supporting our client to appoint someone in this position ASAP