AI Cloud Platform Engineer

Role overview Build and operate enterprise data and analytics platforms that support reporting, AI, and data products. You’ll help shape a unified cloud platform, improve its reliability and security, and work with engineering, architecture, science, and product teams to make trusted data easier to use.

Responsibilities - Design and improve scalable data platform components and solutions. - Support production platforms and help resolve operational issues. - Build and maintain CI/CD pipelines, infrastructure automation, and automated tests. - Apply AI-assisted development tools to coding, testing, documentation, and troubleshooting within governance requirements. - Contribute to planning, team reviews, paired programming, and knowledge sharing. - Collaborate on AI-enabled applications and workflow automation.

Requirements - At least three years of experience building and supporting enterprise data platforms or pipelines. - Advanced Python and SQL skills, plus knowledge of modern data engineering practices. - Hands-on experience with GitHub, secrets management, and REST API integrations or automation. - Experience with Microsoft Fabric and Azure, or comparable cloud analytics platforms. - Experience with CI/CD, source control, infrastructure as code, and automated testing; Terraform and Jenkins or similar tools are relevant. - Understanding of distributed computing, performance, scalability, fault tolerance, and data reliability; clear communication and problem-solving skills.

Nice to have - Experience building enterprise data products with Microsoft Fabric. - Familiarity with data governance and quality frameworks, AI-assisted software development, or relevant cloud and data engineering certifications. - Experience with GitHub Copilot or similar coding assistants.

Benefits and work setup Remote work may be available. Eligible employees working from home receive technology equipment and a monthly internet reimbursement; a private workspace and reliable internet are expected.