Senior Software Engineer
| Company | The Walt Disney Company |
|---|---|
| Location | Santa Monica, CA, USA, Glendale, CA, USA |
| Salary | $138900 – $186200 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor in computer science or similar quantitative field, or equivalent experience
- 5+ years of professional programming in Scala, Python, and etc.
- 3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies
- Deep understanding of data modeling, distributed systems, and performance optimization
- Knowledge of system, application design and architecture
- Experience of building industry level high available and scalable service
- Passion about technologies, and openness to interdisciplinary work
- Excellent communication and collaboration skills
Responsibilities
- Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs
- Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability
- Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test
- Contribute to ground-breaking innovation and apply the state-of-the-art technologies
- As a key member of the team, you will contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing
- Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment
- Own end-to-end delivery of substantial features or subsystems
- Promote a positive, inclusive, and collaborative engineering culture
- Identify and resolve root causes of complex production issues
- Provide constructive feedback and mentorship to junior engineers
Preferred Qualifications
- Hands-on experience with Databricks for development and deployment of data pipelines
- Experience with data governance, compliance, or observability tooling
- Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.
- Experience with Snowflake, Kinesis, lambda etc.
- Experience in MicroService framework like Spring Boot, Spring Cloud, FastAPI, NestJS etc.