Sr Software Engineer I

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Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disneys past present and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers product developers designers technologists data scientists and more all working to build and advance the technological backbone for Disneys media business globally.

The team marries technology with creativity to build world-class products enhance storytelling and drive velocity innovation and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Companys media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think youd love working here:

1. Building the future of Disneys media: Our Technologists are designing and building the products and platforms that will power our media advertising and distribution businesses for years to come.

2. Reach Scale & Impact: More than ever Disneys technology and products serve as a signature doorway for fans connections with the companys brands and stories. Disney. Hulu. ESPN. ABC. ABC Newsand many more. These products and brands and the unmatched stories storytellers and events they carry matter to millions of people globally.

3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disneys industry-leading ad technology and products driving advertising performance innovation and value in Disneys sports news and entertainment content across all media platforms.

Job Summary:

Were looking for a Sr Product Development Engineer I to support and maintain the cloud infrastructure that powers Disneys Ad Technology data platforms. This role is focused on the day-to-day stability and performance of systems running Airflow (MWAA) Spark Flink (on EKS) and Databricks in AWS. Youll be hands-on in responding to incidents troubleshooting issues maintaining infrastructure and implementing improvements that enhance reliability and efficiency. This is a great opportunity for an experienced engineer who thrives in production environments enjoys solving complex infrastructure challenges and is passionate about ensuring the stability of the platforms that drive Disneys advertising workflows.

Responsibilities:

Hands-on Platform Support: Provide direct support for production EKS workloads CI/CD pipelines and AWS infrastructure.

Infrastructure Automation: Build and maintain Terraform modules scripts and monitoring tools to support platform operations diagnostics pod health and deployment issues.

Troubleshooting & Root Cause Analysis: Respond to issues in EKS Istio and CI/CD systems supporting recovery and documenting resolution.

Collaboration & Delivery: Partner with application and DevOps teams on shared projects onboarding and delivery tasks.

Documentation & Standards: Contribute to operational runbooks infrastructure standards and best practices for platform reliability.

Basic Qualifications:

4 years of experience in infrastructure platform engineering or DevOps roles

Background in data systems support

Solid operational experience with AWS infrastructure (IAM VPC EKS ALB/NLB).

Hands-on knowledge of Data infrastructure platforms MWAA Databricks running Spark and Flink on Kubernetes in production environments.

Experience supporting CI/CD platforms such as Jenkins and Spinnaker including pipeline troubleshooting.

Familiarity with cloud security and networking concepts relevant to EKS including IAM TLS VPCs DNS and service-to-service access.

Strong collaboration and solid communication skills with the ability to align across distributed engineering teams.

Working knowledge of infrastructure-as-code (Terraform) and scripting languages (Python Go etc.)

Experience participating in on-call rotations or incident resolution processes across globally distributed teams

Experience participating in high-severity incidents and driving root cause resolution across globally distributed teams

Preferred Qualifications:

Experience supporting data engineering cloud-based workloads using Spark and Flink

Exposure to Azure or GCP alongside AWS

Experience with Datadog Prometheus or similar observability tools

Exposure to regulated environments (SOX CCPA) or large-scale production support

Experience in support tooling automation and AIOps concepts

Familiarity with cost optimization and usage monitoring in AWS and Databricks

Required Education:

Bachelors degree in Computer Science Engineering or related technical field (or equivalent experience).

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