A senior-level Platform Engineering opportunity for an experienced engineer with a strong track record of building scalable, production-grade platforms and self-service capabilities for engineering teams. The ideal candidate will bring deep expertise across AWS, Kubernetes, GitOps, Infrastructure as Code, automation and internal developer platforms, with a strong focus on building reliable, scalable and cloud native solutions.
Expert Knowledge
AWS cloud architecture and services, with strong understanding of AWS best practices and the Well-Architected Framework.
Building platform APIs, automation, system-level tooling and/or internal developer platforms.
Infrastructure as Code tooling and practices, including Terraform, CDK, Pulumi and Crossplane.
Container orchestration principles and Kubernetes; CKA certification preferable.
Cloud-native systems, distributed systems and service architectures, including associated design trade-offs.
Building and operating scalable, secure and highly available platforms within AWS environments.
Requirements
Requirements
5+ years of experience in a Platform Engineering capacity – building self-service platforms and abstractions used by other engineering teams.
2 - 3+ years of experience as a Software Engineer using languages such as Java, JavaScript, Golang or Python.
6+ years of experience working with Public Cloud, with strong hands-on AWS experience.
6+ years of experience with containerisation and container platforms.
Strong experience with Kubernetes GitOps practices using ArgoCD / Flux and Helm/Kustomize.
Strong experience implementing monitoring and observability solutions using tools such as CloudWatch, Prometheus, Grafana, Loki and X-Ray.
Strong understanding of DevOps practices and CI/CD tools such as GitHub Actions and GitLab CI/CD.
Proven experience building complex, production-grade platforms and making these available for self-service consumption by engineering teams.
Hands-on experience with Crossplane, ArgoCD and Backstage is non negotiable.
Proven experience building Kubernetes Operators is non-negotiable.
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