Be part of a dynamic team that is shaping the future of energy and technology. Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance. Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture.
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As a Cloud Solutions Architect, you will be pivotal in designing and implementing cutting-edge solutions, leveraging cloud technologies for ML/AI teams, and becoming a trusted advisor for pipeline building. You will conduct pilot projects, workshops, and training sessions. You will collaborate with clients to develop solution architecture that aligns with their needs and help customers optimize pipeline performance and scalability.
As an Engineering Manager, you'll lead an effective team and develop colleagues. You will develop and review code, ensuring the team is focused, productive, and unblocked. Help engineers grow, do meaningful work, and work well with colleagues. Facilitate technical delivery and reflect on strategy and execution. Collaborate with other managers, product managers, and architects to produce an engineering roadmap.
You will help build and maintain the platform used to train, evaluate, and serve our AI models to clients in the mining industry. Your work will directly support our Technical Services and Platform teams in delivering solutions that create value for mining clients. This position requires strong expertise in Python and machine learning workflows. You will work alongside a team of three engineers focused on creating robust infrastructure and tooling.