Basic Qualifications:
• Manage AWS cloud environments, including computer, networking, data, and security
• Design and provision infrastructure for analytical and ML workloads using Terraform
• Define and enforce infrastructure standards, patterns, and best practices across the team
• Troubleshoot production issues and drive incident resolution
• Monitor system health, define SLOs, and maintain observability across services
• Manage cloud costs — right-size resources, identify waste, and implement cost-optimization strategies
• Design and maintain network architecture including VPCs, subnets, and security groups
• Partner with developers to deploy and operationalize custom analytic applications
• Partner with Decision Science team to design and deploy data science advancements into end-to-end solutions
• Partner with Data Engineering team to establish scalable, efficient, and automated data processes
Job Requirements:
• Minimum of 5 years of experience in cloud infrastructure and systems engineering
• Strong experience managing AWS environments in production
• Experience with Infrastructure as Code practices and tooling (Terraform required)
• Experience with serverless architectures and container technologies (Docker, Kubernetes)
• Strong Linux administration skills
• Proficiency with DevOps and CI/CD tooling (GitLab, Airflow, or similar)
• Experience with observability — monitoring, logging, alerting, and SLO-based reliability practices
• Understanding of AWS networking — VPCs, subnets, security groups, load balancers, and DNS
• Experience with IAM design, security best practices, and least-privilege access patterns
• Familiarity with AI/ML concepts and comfort using AI-assisted tools in day-to-day workflows (e.g., code generation, troubleshooting, documentation)
• Experience with relational databases such as MySQL, MariaDB, or PostgreSQL
• Experience working with complex and large volumes of data and the impacts on infrastructure
• Strong written and verbal communication skills with the ability to work cross-functionally with technical and non-technical teams
Preferred Qualifications:
• Deep Terraform expertise — module development, state management, and CI-driven plan/apply workflows
• Experience with AWS AI/ML services (Bedrock, SageMaker, or similar)
• AWS Certified Solutions Architect (Associate or Professional)
• Experience with cloud cost optimization and FinOps practices
• Experience with observability platforms (Datadog, New Relic, or CloudWatch)
• Experience with Snowflake cloud data warehouse
• Experience with non-relational, NoSQL, and semi-structured databases
• Experience creating application and network architecture diagrams
• Understanding of data science concepts and experience supporting ML workloads
• Experience with Azure or GCP in addition to AWS (multi-cloud awareness)
• Experience with entertainment, media, or related industries
Additional Information:
Location is Orlando. 4x onsite the first few weeks/month or 2 while onboarding/orientation and is hybrid (minimum 2 days on site) afterwards