SaaS Solutions Architect

Build and maintain the platform infrastructure for saas.group's portfolio companies. Ensure scalability, reliability, and performance of shared services.

This role focuses on architecting cloud-based solutions for data and AI workloads, designing scalable, secure, and cost-effective cloud architectures for clients. The architect will assess client requirements, define cloud strategies, and oversee implementation to ensure performance and reliability.

This role is an Advanced Solutions Architect position focused on designing and implementing complex technical solutions. The architect will likely work on cloud infrastructure and API integrations to support enterprise-level systems. Key responsibilities include defining architectural standards and ensuring scalability and performance.

This Senior Cloud Engineer role focuses on the infrastructure substrate, ensuring production environments are stable, observable, secure, and cost-effective. The engineer will author Terraform modules, manage GKE/EKS clusters, maintain observability backends, and participate in incident response and security patching. The role requires experience with GCP, AWS, Kubernetes, and SRE principles.

Works with customer data to enable hyper-personalisation, building predictive intelligence solutions. Focuses on developing machine learning models that drive personalized customer experiences. Requires strong ML engineering skills and experience with customer data.

Transforms raw data into useful data systems, creating algorithms and conducting statistical analysis. Focuses on building robust, scalable data pipelines that support analytics and machine learning. Requires strong data engineering skills and experience with big data technologies.

Leads a small backend development team, providing technical direction and hands-on leadership. Focuses on backend systems architecture, code quality, and guiding the team's technical roadmap. Requires strong backend engineering experience and team leadership skills.