Cloud Platform Engineer - AI, Analytics & Data Science

About the role

A contract Cloud Platform Engineer position in the Washington DC metro area, starting as soon as possible, to support and enhance enterprise analytics, artificial intelligence and data science platforms. The role covers the full lifecycle of enterprise platforms, from infrastructure administration and system integration to troubleshooting, optimization and end-user support. It suits a strong problem solver who is adaptable, eager to learn new technologies and comfortable working with geographically distributed teams.

Key responsibilities

• Administer, maintain and optimize cloud-based analytics, AI and data science platforms in AWS environments.
• Manage Kubernetes-based infrastructure to ensure reliability, scalability and performance.
• Develop and maintain integrations with identity providers, enterprise data sources and third-party systems.
• Support data science and data engineering workflows, including data processing, model development and deployment.
• Work with enterprise AI/ML platforms such as Dataiku, Domino and Amazon SageMaker Unified Studio, and support generative AI initiatives and MLOps.
• Troubleshoot complex technical issues across infrastructure, applications, integrations and user environments.
• Provide technical support to platform users, including data scientists, engineers and other stakeholders.
• Collaborate with cross-functional, distributed teams to implement platform improvements and identify opportunities for better automation and user experience.

Required profile

• Strong experience with AWS cloud infrastructure and system administration.
• Experience supporting enterprise software platforms and developing system integrations.
• Understanding of identity management, data source connectivity, APIs and system plugins.
• Familiarity with data science, data engineering and AI/ML workflows.
• Strong troubleshooting, analytical and problem-solving skills, and ability to learn new technologies quickly.
• Excellent communication and collaboration skills, especially in distributed teams.

Required skills

• AWS cloud infrastructure and system administration
• Kubernetes and containerized environments
• Preferred: Dataiku, Domino, Amazon SageMaker, generative AI, MLOps, cloud automation, platform monitoring, data pipelines and data integration