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
1) Cloud Architecture Depth
a. 7+ years of experience; Designing and supporting AWS-native, cloud-first platforms-leveraging services like Lambda, Step Functions, DynamoDB, AppSync, S3, and Cognito.
2) Modern Engineering Practices
a. 7+ years of experience; Experience delivering infrastructure through CI/CD (GitHub Actions, AWS CodePipeline), Infrastructure as Code (Terraform, CDK), and GitOps.
3) Fluency in Data & ML Infrastructure
a. 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:
1) You'll thrive in this role if you:
a. Think Beyond a Single Application
b. You design with the future in mind-building shared infrastructure capabilities that serve current pods while enabling future application growth.
c. Bridge Delivery with Platform Thinking
d. You translate abstract platform goals into concrete, usable infrastructure patterns that empower agile teams to deliver with autonomy.
e. Promote Resilience Through Enablement
f. You embed observability, security, and scale into everything you design-and coach others to adopt them without introducing friction.
g. Elevate Through Stewardship
h. You drive governance not by control, but by enabling adoption of high-quality standards and simplifying decision-making for developers.
i. Stay Adaptive
j. You evolve your patterns, tooling, and mindset to meet the changing needs of application teams and Studio Economics as a whole.
2) What You'll Bring:
a. Strong Communication and Alignment Skills
b. Ability to translate infrastructure needs to a range of audiences-platform engineers, developers, TPOs, data scientists, and executives-while guiding consensus.
c. A Bias for Platform Enablement
d. You move quickly, unblock others, and help product teams deploy faster without reinventing infrastructure or compromising enterprise integrity.
e. Ability to partner closely with Platform Owners, Data Architects, DevOps teams, and engineering pods to define shared infrastructure services and reduce delivery friction.
f. Strong communication and collaboration skills-able to translate technical infrastructure concepts to non-technical stakeholders and influence across teams and architectural forums.
g. Demonstrated ability to drive cloud governance adoption across delivery teams, including standardization of tagging, cost optimization, and operational SLAs.
h. A bias for action and enablement-empowering teams to build with autonomy while ensuring adherence to scalable platform standards.

Technology Requirements:
1) What You'll Bring:
a. Cloud Architecture Depth
b. Designing and supporting AWS-native, cloud-first platforms-leveraging services like Lambda, Step Functions, DynamoDB, AppSync, S3, and Cognito.
c. Modern Engineering Practices
d. Experience delivering infrastructure through CI/CD (GitHub Actions, AWS CodePipeline), Infrastructure as Code (Terraform, CDK), and GitOps.
e. Cross-Workstream Support
f. Proven ability to design shared infrastructure services and environments for multiple delivery teams without compromising agility or autonomy.
g. Security and Operational Excellence
h. Familiarity with implementing role-based access controls, security baselines, observability tools, and cost optimization practices across diverse workloads.
i. Fluency in Data & ML Infrastructure
j. Experience supporting data-intensive applications and enabling cloud resources for AI/ML teams (e.g., MLFlow, SageMaker, Databricks, feature stores).
2) Proven experience developing and maintaining modular, reusable cloud architectures that support multiple applications and product teams across domains.
3) 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).
4) Strong working knowledge of security, compliance, and resilience best practices-including IAM, encryption, audit logging, tagging standards, and fault-tolerant design.
5) Demonstrated ability to embed observability and monitoring into platform services using tools like CloudWatch, X-Ray, OpenSearch, or similar.
6) 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)

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