Senior Platform Engineer
Job Description
Businesses today are adopting the cloud for improved services to their customers. Our purpose is to guide companies on that journey to drive the adoption of DevSecOps so that our clients can remain ahead of the curve. We have an intense focus on engineering fundamentals, whether Developer and Security Operations, Cloud Native Transformation Strategy or So…
Senior Platform Engineer
Role Overview
We are seeking an Senior Platform Engineer to design, build, and maintain scalable, secure, and resilient platforms that support the development, deployment, and operation of applications across the organisation. In this role you will treat our cloud infrastructure as a product and our internal developers as your customers. Your mission is to make the right path the easiest path: building self-service tooling, automated guardrails, and a platform experience that lets engineers move fast without breaking things.You will enable engineering teams by automating infrastructure, optimising CI/CD pipelines, and ensuring platform reliability and performance. You will play a key role in driving Platform Engineering best practices, improving developer productivity, and fostering operational excellence through infrastructure-as-code and modern tooling.
What You Will Be Doing
- Kubernetes & Containerisation: Kubernetes, Istio, ArgoCD, Helm & CI/CD for containerised workloads.
- Monitoring and Logging: Prometheus, Loki, Grafana & ELK to monitor Kubernetes resources and Java workloads.
- Source Control & CI/CD: GitHub & GitHub Actions for version control and CI/CD.
- Operating Systems: Ansible and AWS tooling to manage Unix environments (Red Hat Enterprise Linux).
- Backend Development: Hands-on experience designing, developing, and deploying backend services in Java; scripting for ad-hoc problems.
- Cloud Infrastructure: AWS/Cloud services and best practices, including the AWS Well-Architected Framework.
- Infrastructure as Code: AWS CDK & Terraform to write and manage infrastructure.
- Architecture and Design Patterns: DDD, Event-Driven Architecture (EDA), and distributed computing architecture.
- Computer Networking: Core networking concepts including VPCs, Subnets, NAT Gateways, Internet Gateways, Peering, PrivateLink, Global Accelerators, and Load Balancing.
- Database Management: Relational databases (MySQL, SQLite, PostgreSQL), event pipelining using Apache Kafka.
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