Sr Software Engineer - Content Platform Engineering
$138,900–$186,200 year
On-site · Glendale, California, United States or Bristol, Connecticut, United States
Job Summary
Seeking a Senior Software Engineer for the Content Platform Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on computer vision and machine learning workflows. Responsibilities include designing and implementing scalable systems, data pipelines, and platform services that automate media asset inspection, validation, and enrichment. Candidates should have expertise in core programming languages, experience with cloud platforms and APIs, and knowledge of software design principles. Strong collaboration with cross-functional teams and mentorship for junior engineers is expected.
Required 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
- 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
Desired Qualifications
- Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- 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
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