Cloud Engineer

• Design, implement, and maintain cloud infrastructure and services for high availability, reliability, and scalability
• Develop and enforce cloud security policies and procedures
• Optimize cloud performance and cost-efficiency through continuous monitoring and improvement
• Create and manage automation scripts for deployment, management, and scaling of cloud resources
• Collaborate with development, operations, and security teams to integrate cloud solutions
• Design and implement disaster recovery and backup strategies
• Maintain comprehensive documentation of cloud infrastructure, configurations, and processes
• Design and architect scalable, secure, and reliable cloud solutions
• Resolve complex cloud infrastructure and application issues
• Lead cloud projects from conception to completion
• Mentor and guide junior cloud engineers
• Perform other duties as assigned

Cloud Engineer II

• Design and build scalable AWS-based data, backend, and AI solutions
• Develop Java/Spring Boot services, APIs, data models, and integrations across MySQL, MongoDB, and third-party platforms
• Build and maintain data ingestion and processing pipelines for transaction, guest, ordering, loyalty, and payment data
• Develop and modernize the AWS data platform using S3, EMR, Spark, Glue, and Athena
• Create trusted, reusable datasets and data models for analytics, customer intelligence, and AI/ML applications
• Build generative AI and RAG applications using Amazon Bedrock, OpenSearch, and related technologies
• Support predictive ML use cases including churn, recommendations, and segmentation
• Establish testing, monitoring, and evaluation for data pipelines, AI quality, application performance, and production reliability
• Ensure security, privacy, tenant isolation, and governance of customer and guest data
• Maintain engineering quality through CI/CD, infrastructure as code, automated testing, code reviews, and documentation
• Own work across data ingestion, modeling, application development, AI integration, deployment, and production operations

Data & AI Engineer – AWS, Java, Python

• Advise customers on adopting cloud and hybrid hosting solutions for Mendix and adjacent solutions based on cost, performance, and security requirements
• Assist customers with installation, configuration, operations, supervision, and troubleshooting of Mendix platform deployments
• Support deployments in Kubernetes environments including AWS EKS, Azure AKS, Rancher, and OpenShift
• Support deployments at AWS, Azure, and GCP hyperscalers and on customer premises
• Help customers implement and optimize Mendix deployments within existing CI/CD pipelines
• Train on Mendix Cloud Architecture principles and deployment and integration possibilities
• Define and explain highly automated hosting infrastructure as an architect
• Implement and troubleshoot hosting infrastructure as an engineer
• Experiment with automation for cloud infrastructure, deployments, and AI-driven infrastructure