Platform Engineer
Indexed description
This role offers the opportunity to work in a Google Cloud environment where you'll help shape the platform powering next-generation AI applications. You'll collaborate with software engineers to create reliable, secure, and highly automated infrastructure while improving developer productivity across the organisation.
Outline of the role
- Design, build and support cloud infrastructure that powers AI products and engineering platforms.
- Develop and maintain Infrastructure as Code using Terraform and cloud automation tools.
- Build and enhance CI/CD pipelines to enable reliable application and infrastructure deployments.
- Improve platform reliability through monitoring, logging, alerting, secrets management and operational best practices.
- Support the infrastructure required for AI and machine learning workloads running in production.
- Partner with software engineering teams to deliver self-service platform capabilities and improve the developer experience.
- Contribute to cloud governance, platform security, engineering standards and architectural best practices.
- Continuously identify opportunities to improve automation, scalability, performance and operational efficiency.
- 3–5 years' experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering or Infrastructure Engineering.
- Strong hands-on experience with at least one major public cloud platform. Google Cloud experience would be a significant advantage.
- Commercial experience using Terraform or similar Infrastructure as Code technologies.
- Experience building and maintaining modern CI/CD pipelines.
- Scripting and automation skills using Python, Bash or similar languages.
- Strong understanding of cloud networking, IAM, infrastructure security and production best practices.
- Experience supporting scalable, highly available production platforms.
- Comfortable working in a collaborative, fast-moving engineering environment.
- Join a growing AI Engineering organisation building production AI products.
- Work with modern cloud technologies and platform engineering practices.
- Hybrid working model based in Dublin.
- Opportunity to influence platform architecture, automation and engineering standards while working alongside experienced software and AI engineers.
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