Senior Infrastructure Engineer - P3

Basic Qualifications

• our Role:
  Manage AWS cloud environments, including compute, 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

• 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 Dev Ops and CI/CD tooling (Git Lab, 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, Maria
  
  DB, 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

• Deep Terraform expertise - module development, state management, and CI-driven plan/apply workflows
• Experience with AWS AI/ML services (Bedrock, Sage Maker, or similar)
• AWS Certified Solutions Architect (Associate or Professional)
• Experience with cloud cost optimization and Fin Ops practices
• Experience with observability platforms (Datadog, New Relic, or Cloud Watch)
• Experience with Snowflake cloud data warehouse
• Experience with non-relational, No
  
  SQL, 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

BA/BS Degree Comp Sci/IS or related field