Data Platform Engineer

Must have:
• AWS experience with Kubernetes operating knowledge.
• Excellent communication skills
• Big data experience with a mainstream open-source framework (e.g. Terraform/ Crossplane, Prometheus)
• Experience with automation for testing, monitoring, and CI/CD Nice to have: Experience working in a customer-facing or consulting role Programming experience in Java and Python Knowledge on Machine Learning and AI Job description: We seek a Data Platform Infrastructure Engineer skilled in AWS and Kubernetes to build and maintain the infrastructure powering our data platform. You'll ensure reliability, scalability, and performance of large-scale systems, developing tools and dashboards for monitoring and management. Experience with infrastructure-as-code and CI/CD is essential. You'll collaborate with engineering teams within Apple, and stakeholders to build, test and maintain robust data platforms.

Experience:
• 8+ YOE, with 5+ years of experience working with large scale infrastructure systems and cloud environments
• Hands-on experience in AWS and knowledge in its ecosystem. Experience in scaling and operating Kubernetes.
• Excellent communication skills is a must, experience working with customers directly to explain how they would use the infrastructure to build solutions that meet their business goals
• Proven ability to work in an agile environment, flexible to adapt to changes
• Programming experience in Java or Python, bash scripting.
• Fast learner and experience with IaC fundamentals and monitoring solutions is a plus. • Knowledge building machine learning pipelines is a nice to have