Principal Software Engineer

Principal Software Engineer

Paramount Skydance Corp. is seeking a Principal Software Engineer to architect, build, and scale AI-driven tooling and engineering platforms that accelerate quality, automation, and developer productivity across the Global Quality Engineering organization. This is a senior technical leadership role focused on designing intelligent systems, internal developer tools, and automation accelerators that elevate testing maturity and modernize how GQE delivers quality at scale. You will partner closely with engineering, platform, and data teams to build AI-powered solutions that streamline test creation, triage, analysis, and execution. This role requires deep software engineering expertise, deep architectural judgment, and hands-on experience applying LLMs, retrieval systems, and automation frameworks to real engineering workflows.

Key Responsibilities

• AI Tooling Architecture & Platform Development
• Intelligent Automation & Quality Acceleration
• Engineering Excellence & Technical Leadership
• Cross-Functional Collaboration

Required Qualifications

• 8+ years of software engineering experience with robust backend development expertise
• Proven experience architecting and building production-grade AI or ML-powered systems
• Strong knowledge of distributed systems, microservices, cloud platforms, and containerization
• Hands-on experience with vector databases, embeddings, prompt engineering, and LLM orchestration frameworks
• Experience integrating tools into CI/CD pipelines and developer workflows
• Strong architectural judgment, systems thinking, and ability to design scalable internal platforms
• Excellent communication skills and ability to influence across engineering, product, and quality organizations

Preferred Qualifications

• Experience building internal developer platforms, productivity tools, or automation accelerators
• Familiarity with test automation frameworks, quality engineering workflows, or large-scale testing systems
• Experience with observability stacks and telemetry pipelines
• Background in media/streaming, distributed playback systems, or device-level testing environments

Key Competencies

• Technical Leadership – sets architectural direction and elevates engineering maturity
• AI Fluency – practical judgment on where AI delivers measurable value
• Systems Thinking – ability to design platforms that scale across teams and brands
• Innovation – identifies opportunities to transform workflows through intelligent automation
• Ownership – drives complex initiatives end-to-end with autonomy and clarity

Success Metrics

• Delivery of AI tooling that reduces triage time, accelerates test creation, and improves signal quality
• Adoption of AI-powered tools across GQE teams and measurable improvements in productivity
• Reduction in flakiness, false positives, and manual triage effort through intelligent automation
• Increased engineering efficiency and faster release cycles enabled by AI-augmented workflows
• Strong cross-functional alignment and consistent usage of AI platforms across brands and pillars