Overview
As Platform / Infrastructure Engineer for the WAVE team, you will design and maintain the foundations that enable rapid AI-enabled delivery. You’ll build self-serve, reliable infrastructure and pipelines that scale with the team’s needs. You’ll collaborate with AI engineers and other stakeholders to ensure deployments are repeatable and observable. This is a hands-on role at the intersection of cloud engineering and platform thinking, offering visibility and impact as the business scales reusable assets.
Pay / Benefits
- hybrid work
- growth and development
- inclusion and collaboration
- pilot built to scale
- exposure to AI-enabled consulting
- performance and sustainability
Responsibilities
- Design, build, and maintain cloud infrastructure and deployment pipelines
- Implement CI/CD, infrastructure-as-code, and disaster-recovery capabilities for fast, repeatable deployment
- Provide self-serve infrastructure to the team to avoid bottlenecks
- Advise on infrastructure setups to support scale for each solution
- Collaborate with AI Engineers to enable deployment, monitoring, and maintenance
- Shape environment design, release management, and operational resilience decisions
- Foster a consistent engineering experience across projects and promote reuse
- Treat infrastructure as a product and contribute to a platform mindset
Key requirements
- Strong hands-on experience with Kubernetes and a major cloud platform (Azure and/or AWS)
- Solid experience with CI/CD and infrastructure-as-code
- Experience designing and supporting disaster-recovery capabilities
- Ability to build and run internal platforms relied upon by other engineers
- Practical understanding of deployment, reliability, and scale across multiple solutions
- Full professional English
- leadership and ownership from day one
- practical judgement and problem-solving
- clear communication and collaboration
- Kubernetes
- Azure and/or AWS
- CI/CD
…
