Cloud Engineer

What We Do/Project As part of the transformation, we are evolving how finance, business, and technology collaborate—shifting to lean-agile, user-centric small product-oriented delivery teams (PODs) that design and deliver integrated, intelligent, and scalable solutions. The Senior Cloud Architect is a strategic technical leader embedded within the Platform Pod, but accountable for defining and evolving the cloud architecture that supports the full suite of applications. This role is instrumental in establishing a secure, scalable, and reusable infrastructure backbone—enabling delivery pods across workstreams to rapidly deploy applications and data products that adhere to enterprise standards. From real-time data processing to AI/ML applications, the Cloud Architect ensures the platform can flex, scale, and grow with our needs. Job Responsibilities / Typical Day in the Role Lead Cloud Architecture Across Studio Economics • Design and evolve AWS-native infrastructure patterns that support multiple workstreams and applications—including Title Economics, Content Sales Planning, and future forecasting tools. • Define and maintain reference architectures, IaC modules, and CI/CD standards that can be adopted across product pods for consistency and reusability. • Support a modular, composable architecture that allows applications to share common services, infrastructure layers, and observability tooling while maintaining domain-level autonomy. Embed Security, Scalability, and Resilience by Design • Apply best practices for security (e.g., IAM, KMS, audit logging), performance, and cost governance across all environments. • Guide teams in adopting autoscaling, event-driven compute, and fault-tolerant patterns that support high-load events (e.g., major title launches, seasonal planning cycles). • Ensure platform services are hardened for availability, traceability, and recoverability—aligned with enterprise compliance and operational standards. Partner with Platform, Product, and Data Teams • Work closely with the Platform Engineers and DevOps team to define and implement shared infrastructure services that support deployment, monitoring, and environment management. • Support product pods (e.g., Title Economics, Forecasting) by advising on infrastructure design choices, provisioning reusable services, and removing environment blockers. • Collaborate with Data Engineers and MLOps leads to support scalable data and ML pipelines with fit-for-purpose cloud resources (e.g., S3, SageMaker, Databricks, EventBridge). Drive Platform Enablement and Governance • Develop and maintain infrastructure documentation, templates, operational SLAs, and platform onboarding guides for application teams. • Represent Studio Economics in cross-domain architecture forums and communities of practice to share standards, align decisions, and scale reusable patterns. • Support cloud governance by embedding security, tagging, and resource accountability into all infrastructure as code artifact Must Have Skills / Requirements • Cloud Architecture Depth • 7+ years of experience; Designing and supporting AWS-native, cloud-first platforms—leveraging services like Lambda, Step Functions, DynamoDB, AppSync, S3, and Cognito. • Modern Engineering Practices • 7+ years of experience; Experience delivering infrastructure through CI/CD (GitHub Actions, AWS CodePipeline), Infrastructure as Code (Terraform, CDK), and GitOps. • Fluency in Data & ML Infrastructure • 7+ years of experience; Experience supporting data-intensive applications and enabling cloud resources for AI/ML teams (e.g., MLFlow, SageMaker, Databricks, feature stores). Functional Knowledge / Skills In The Following Areas • You’ll thrive in this role if you: • Think Beyond a Single Application • You design with the future in mind—building shared infrastructure capabilities that serve current pods while enabling future application growth. • Bridge Delivery with Platform Thinking • You translate abstract platform goals into concrete, usable infrastructure patterns that empower agile teams to deliver with autonomy. • Promote Resilience Through Enablement • You embed observability, security, and scale into everything you design—and coach others to adopt them without introducing friction. • Elevate Through Stewardship • You drive governance not by control, but by enabling adoption of high-quality standards and simplifying decision-making for developers. • Stay Adaptive • You evolve your patterns, tooling, and mindset to meet the changing needs of application teams and Studio Economics as a whole. • What You’ll Bring: • Strong Communication and Alignment Skills • Ability to translate infrastructure needs to a range of audiences—platform engineers, developers, TPOs, data scientists, and executives—while guiding consensus. • A Bias for Platform Enablement • You move quickly, unblock others, and help product teams deploy faster without reinventing infrastructure or compromising enterprise integrity. • Ability to partner closely with Platform Owners, Data Architects, DevOps teams, and engineering pods to define shared infrastructure services and reduce delivery friction. • Strong communication and collaboration skills—able to translate technical infrastructure concepts to non-technical stakeholders and influence across teams and architectural forums. • Demonstrated ability to drive cloud governance adoption across delivery teams, including standardization of tagging, cost optimization, and operational SLAs. • A bias for action and enablement—empowering teams to build with autonomy while ensuring adherence to scalable platform standards. Technology Requirements • What You’ll Bring: • Cloud Architecture Depth • Designing and supporting AWS-native, cloud-first platforms—leveraging services like Lambda, Step Functions, DynamoDB, AppSync, S3, and Cognito. • Modern Engineering Practices • Experience delivering infrastructure through CI/CD (GitHub Actions, AWS CodePipeline), Infrastructure as Code (Terraform, CDK), and GitOps. • Cross-Workstream Support • Proven ability to design shared infrastructure services and environments for multiple delivery teams without compromising agility or autonomy. • Security and Operational Excellence • Familiarity with implementing role-based access controls, security baselines, observability tools, and cost optimization practices across diverse workloads. • Fluency in Data & ML Infrastructure • Experience supporting data-intensive applications and enabling cloud resources for AI/ML teams (e.g., MLFlow, SageMaker, Databricks, feature stores). • Proven experience developing and maintaining modular, reusable cloud architectures that support multiple applications and product teams across domains. • Proficient in delivering infrastructure using Infrastructure as Code (IaC) frameworks (e.g., Terraform, AWS CDK, or CloudFormation) and CI/CD pipelines (e.g., GitHub Actions, AWS CodePipeline). • Strong working knowledge of security, compliance, and resilience best practices—including IAM, encryption, audit logging, tagging standards, and fault-tolerant design. • Demonstrated ability to embed observability and monitoring into platform services using tools like CloudWatch, X-Ray, OpenSearch, or similar. • Hands-on experience supporting data-intensive and ML workloads, with practical knowledge of enabling platforms such as SageMaker, MLflow, Databricks, and real-time data pipelines (e.g., EventBridge). Additional Notes • Hybrid schedule (Tues-Thurs) required (Burbank) #DICE