Description
Overview
Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences for the world's most beloved stories while transforming Disney's media business for the future.
Job Summary
The Event Platform team is the pillar of a data processing pipeline responsible for powering core features and analytics across all of Disney's streaming services. As a software engineer at Disney, you will help build the platform that powers these applications, design and scale infrastructure to support massive scale at low latency, and improve the software delivery process.
Key Responsibilities
- Lead the design and architecture of high-scale services and observability platforms, integrating them with existing telemetry infrastructure.
- Manage complex projects, taking high-level requirements and breaking them down into technical roadmaps with clear milestones.
- Own the full software development lifecycle, including deployment, monitoring, logging, and on-call.
- Actively mentor junior and mid-level engineers, focusing on their growth through constructive code reviews and technical guidance.
- Collaborate cross-functionally with product, client, and data platform teams to negotiate architectural decisions and align technical plans with business goals.
- Deliver working prototypes and proof-of-concepts for complex technical proposals.
Required Qualifications
- Bachelor's degree in Computer Science or a related technical field.
- 5+ years of experience building and scaling production-grade software in Java.
- Strong expertise in developing and operating observability platforms, including metrics, logging, tracing, and alerting.
- Proven ability to take ownership and responsibility for the entire software development lifecycle, from conception to deployment and operations.
- Excellent technical leadership and mentorship skills, with a passion for building and growing engineering teams.
- Exceptional communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
- Ability to leverage AI tools like Claude Code and Cursor effectively for increased productivity.
Preferred Qualifications
- Expertise in streaming data applications like Apache Flink, Apache Kafka, or similar technologies.
- Hands-on experience with AWS services, specifically Kinesis, MSF, Dynamo, ElastiCache, Lambda, Cloudwatch, Datadog.
- Experience with infrastructure-as-code tools like Terraform.
- Knowledge of data products and platforms, including Spark, Parquet, Athena, Databricks.
Benefits
The hiring range for this position in Seattle, WA is $150,900 to $202,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.