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# Software Engineer

- **Company:** Paramount Global
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $110,400.0 - $165,600.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Information Engineering, Cursor (Graphical User Interface Elements), Programming Tools, Python (Programming Language), Software Engineering, Google Cloud, GitHub Copilot, Large Language Models, Backend, Kotlin, Containerization, Kubernetes, Docker
- **Published:** July 24, 2026
- **Apply:** https://www.juju.com/job/00000000gj3ax6

## About the Role

2+ years of software engineering experience (Java, Kotlin, Python, or similar).

Experience building backend services, APIs, or internal tools.

Familiarity with LLMs, embeddings, or AIassisted development tools (GitHub Copilot, Cursor, etc.).

Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Strong problemsolving skills and interest in AIdriven engineering.

Key Competencies

Curiosity and willingness to learn AIdriven engineering.

Proficient coding fundamentals and attention to detail.

Collaboration and communication across engineering teams.

Ownership of assigned features and components.

Success Metrics

Delivery of reliable features within AI tooling platforms.

Improved triage and testcreation efficiency for GQE teams.

Positive feedback from internal users on usability and impact.

High code quality and consistent contribution to team velocity.

## Description

Paramount Skydance Corp is seeking a Software Engineer to build AIpowered tools, backend services, and internal platforms that support the Global Quality Engineering organization. **This is not an in test role** you will be developing productiongrade software that accelerates test creation, triage, analysis, and automation workflows across GQE. You will contribute to intelligent systems that improve engineering efficiency and modernize how quality engineering is performed at scale., Build backend services, CLIs, and internal tools that integrate AI capabilities into GQE workflows.

Implement features for AIassisted test generation, log summarization, and defect triage.

Contribute to RAG pipelines, embeddings workflows, and LLMpowered utilities under senior guidance.

Integrate AI tooling into CI/CD pipelines and existing automation frameworks.

Collaborate with QE, Platform, and Data Engineering teams to understand requirements and deliver practical solutions.

Write clean, maintainable code and participate in code reviews and engineering best practices.


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