Sr Software Engineer
| Company | The Walt Disney Company |
|---|---|
| Location | Bristol, CT, USA, Glendale, CA, USA |
| Salary | $138900 – $186200 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5 years relevant industry experience
- Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript)
- Experience working with REST APIs or GraphQL for building and consuming web services.
- Experience with cloud platforms like AWS and their core services (e.g., S3, Lambda, EC2).
- Solid understanding of software design principles, algorithms, and data structures.
- Experience with build and deployment technologies such as Docker, Gitlab-CI, Terraform/Cloud formation, and Jenkins
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Expertise with full lifecycle of application development, including best practices of unit testing, code reviews, documentation, etc
- Experience with a wide range of data store technologies such as MongoDB, Redis, Elasticsearch, Postgres, and DynamoDB
- Experience in Agile/Scrum methodology
- Team player with strong oral and written communications skills
Responsibilities
- Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable software solutions. 40%
- Collaborate with Cross-Functional Teams: Work closely with platform engineers, product teams, and data scientists to ensure technical solutions effectively support business goals and content strategies. 35%
- Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime. 15%
- Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning. 10%
Preferred Qualifications
- Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) or building AI/ML solutions.
- Familiar with prompt engineering and interacting with LLMS
- Experience integrating machine learning models into production systems, including working with data pipelines and AI-driven solutions.
- Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain.