Sr. Software engineer

• 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 Google Cloud Platform in addition to AWS (multi-cloud awareness)

• Experience with entertainment, media, or related industries