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Sr Software Engineer - Content Platform Engineering

Disney
Glendale, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
awsdockerdynamodbelasticsearchgraphqljava

Full Job Posting

Responsibilities and Duties of the Role:

  • Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable software solutions.
  • 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.
  • Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime.
  • Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

Required Education, Experience/Skills/Training:

  • Basic Qualifications:
  • 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
  • Preferred Qualifications:
  • Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) or building AI/ML solutions.
  • Familiar with machine learning model training
  • 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.
  • Required Education:
  • Bachelor’s degree in computer science or comparable field of study, and/or equivalent work experience.
  • Job Posting Segment:
  • Job Posting Primary Business:
  • Primary Job Posting Category:
  • Employment Type:
  • Primary City, State, Region, Postal Code:
  • Alternate City, State, Region, Postal Code:
  • Date Posted:

Qualifications

  • 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
  • Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) or building AI/ML solutions.
  • Familiar with machine learning model training
  • 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.
  • Bachelor’s degree in computer science or comparable field of study, and/or equivalent work experience.
  • Date Posted

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