Job Description:
RESPONSIBILITIES
- Applies extensive knowledge of theories, practices and design matters.
- Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
- Exercise a wide latitude in determining objectives and approaches to critical assignments.
- Knowledge with broadcast production or video content management systems
- Knowledge of media management strategies and distribution workflows
- Lead and contributes to development of company objectives across and principles to achieve goals
- Deep understanding of AWS/Azure services and products
- Provide feasibility reviews for potential new projects, including development effort estimates
- Strong understanding of the C4 model and traditional design artifacts
- Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
- Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
- Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
- Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
- Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
- Contribute to our modern backend orchestration or modern web frontends.
- Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.
Qualifications:
REQUIRED QUALIFICATIONS
- 7+ years of professional software engineering experience with strong SDLC and version control expertise
- Advanced Python proficiency with hands-on AWS/Azure/GCP deployment and operations experience
- Proven experience integrating LLMs into production applications, including inferencing endpoints, context management, and AI output parsing
- Practical Terraform or equivalent Infrastructure-as-Code experience for cloud resource management
- Deep expertise in digital and broadcast production operations and workflows
- Demonstrated mastery of C4 model and traditional design artifacts
- Strong commitment to clean, maintainable, well-tested code with agile and code-review discipline
- Current knowledge of AI industry trends and best practices
- BS in Computer Science, Electrical Engineering, or equivalent professional experience
PREFERRED QUALIFICATIONs
- 5+ years of AWS cloud experience
- 1+ years of Azure cloud experience
- Experience with Java, Golang, or JavaScript in addition to Python
- Continuous integration and deployment pipeline experience
Additional Information:
All your information will be kept confidential according to EEO guidelines.
EEOC and Veteran Documentation
During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.
At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all
Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.
