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# Software Engineer

- **Company:** The Walt Disney Company
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $148,700.0 - $199,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Information Systems, Databases, Data Structures, Software Design Patterns, High-Level Architecture, Java Virtual Machine (JVM), Enterprise Messaging Systems, Scrum Methodology, Software Engineering, Datadog, Data Logging, Google Cloud, Grafana, Concurrency, Caching, Backend, Git, Build Management, Information Technology, Apache Kafka, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Splunk, Software Version Control, Docker, Jenkins
- **Published:** September 13, 2026
- **Apply:** https://www.dice.com/job-detail/5f56ad4d-d9dd-4062-b143-a5daf273e99e

## About the Role

* Bachelor?s degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
 * 5+ years related experience crafting backend architectures and delivering backend applications in a production environment. Validated knowledge of operating large-scale high-availability backend services and JVM services
 * Expertise in functional programming patterns and experience building RESTful services (Scala APIs)
 * Understanding of async programming models (events, callbacks, promises, async/await) and threading/concurrency
 * Strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.) and strong understanding of design patterns and principles
 * Experience operating within a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud)
 * Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git
 * Experience with build and deployment technologies such as Jenkins and Docker. Experience with messaging technologies (e.g., Kafka, Kinesis, SQS, etc.)
 * Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana)
 * Knowledge of caching technologies
 * Knowledge of AGILE/Scrum practices.
 * Strong written and verbal communication skills.
 * Self-learner, independent, excellent problem-solving skills

## Description

* Work with a team of engineers to build high-performance, stable, scalable systems to be deployed in an enterprise setting
 * Lead high-level architecture discussions and planning sessions, author and share feedback on technical proposals and root cause analyses, and establish standards within the team to drive quality and excellence
 * Participate in the on-call rotation, supporting systems and services during production incidents
 * Provide mentoring and advice for other engineers
 * Participate in the DSS technical community through presentations, tech talks, and other knowledge-sharing efforts