Platform Engineer

• Operate, scale, and continuously improve our production Kubernetes clusters running on Google Cloud Platform (GCP).
• Build, manage, and evolve cloud infrastructure using Infrastructure as Code (Terraform).
• Maintain and optimise critical messaging and event-streaming infrastructure, including RabbitMQ and Kafka.
• Manage edge networking, security, and traffic routing through Cloudflare.
• Automate operational processes and improve CI/CD pipelines to support safe, fast, and reliable releases.
• Collaborate with development teams to optimise Java services, JVM performance, container resource allocation, and connection pooling.
• Maintain and troubleshoot observability and logging platforms such as Elasticsearch and Kibana.
• Lead real-time incident response, structured triage, and mitigation during production outages.
• Coordinate cross-functional teams and communicate effectively with both technical and non-technical stakeholders during incidents.
• Design and execute load testing strategies to validate system resilience under peak traffic conditions.
• Conduct blameless postmortems, identify systemic risks, and implement long-term improvements to prevent recurring incidents.
• Improve monitoring, alerting, and observability using Prometheus and Grafana, helping reduce alert fatigue and improve Mean Time To Recovery (MTTR).

• Design and implement cloud-based data platform infrastructure using Infrastructure as Code (Terraform), with a strong focus on scalability, security, reliability, and cost-efficiency.
• Build and maintain CI/CD pipelines that automate data engineering workflows, data pipeline deployments, and infrastructure provisioning, ensuring faster deployment cycles and minimizing errors.
• Implement and operate observability solutions — integrating monitoring, logging, and metrics to ensure platform reliability, performance visibility, and fast incident response.
• Collaborate closely with data engineers and cross-functional teams to design and implement data pipelines, data models, and platform capabilities that meet performance and business requirements.
• Apply best practices for high availability, disaster recovery, security and cost optimization, while documenting infrastructure patterns, data architecture decisions, and operational procedures.

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Platform Engineer

Data Platform Engineer