Senior Infrastructure Engineer - w2 candidates only

Title: Senior Infrastructure Engineer

Location: Orlando, FL (2 days onsite)

Duration: 18 months

Summary

Our team is seeking a Senior Infrastructure Engineer to evolve the cloud infrastructure that powers analytical systems, optimization engines, and ML pipelines across the organization. You'll design scalable architectures for data-intensive workloads, define infrastructure standards through Terraform, and ensure the reliability and cost-efficiency of systems that directly drive business decisions. This role requires a strong computing background, a systems mindset, and the ability to deliver creative solutions to complex problems.

Responsibilities

• 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

Basic Qualifications

• 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

Education

• BA/BS

The estimated pay range for this position is USD $80.00/hr - USD $88.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.