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# Lead Software Engineer

- **Company:** Paramount Global Streaming International LLC
- **Location:** Burbank, CA, United States
- **Experience:** Expert
- **Salary:** $156,800.0 - $235,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Information Engineering, Programming Tools, Distributed Systems, Software Engineering, Retrieval-Augmented Generation, Backend, AI Platforms, Kubernetes, Build Tools
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_viacomcbs-1390820700

## About the Role

backend and architectural expertise. + Proven experience building and scaling production AI systems, including LLMintegrations and RAG pipelines. + Strong systems thinking and ability to design platforms used across multiple teams and brands. + Expertise in cloud platforms, distributed systems, and container orchestration. + Demonstrated leadership in technical strategy, platform design, and crossfunctional influence. + Excellent communication skills and ability to drive alignment across engineeringorganizations. **Key Competencies** + Organizationlevel technical leadership. + Ability to define platform strategy and longterm architecture. + Deep AI fluency and applicable judgment on where AI adds value. + Strong mentorship and influence across teams. **Success Metrics** + Enterprisewide adoption of AI tooling with measurable improvements in productivity and quality. + Significant reduction in triage time, flakiness, and manual analysis through intelligent automation. +

## Description

You will define technical direction, lead complex initiatives, and build systems that accelerate automation, triage, and analysis at scale. **Key Responsibilities** + Architect largescale AI platforms, RAG systems, and intelligent automation services that support GQE. + Lead the design of internal developer tools, microplatforms, and APIs that integrate AI into core engineering workflows. + Build systems that automatically analyze failures, classify flakiness, detect patterns, and recommend fixes. + Partner with QE leadership to define longterm AI strategy and roadmap. + Drive crossfunctional alignment with Platform Engineering, Data Engineering,Playback/Video Engineering, and Product. + Mentor engineers across GQE and elevate engineering maturity through best practices and architectural guidance. + Evaluate and integrate emerging AI technologies that deliver measurable productivity and quality improvements. **Qualifications** + 6+ years of software engineering experience with deep